Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
beit_base_patch16_384.in22k_ft_in22k_in1k	65.1M	37.1G	384	True	768	1000	imagenet-1k	Beit	beit_base_patch16_384	2022-12-23
beitv2_base_patch16_224.in1k_ft_in22k	81.1M	12.7G	224	True	768	21841	imagenet-22k	Beit	beitv2_base_patch16_224	2022-12-23
beit_base_patch16_224.in22k_ft_in22k	81.1M	12.7G	224	True	768	21841	imagenet-22k	Beit	beit_base_patch16_224	2022-12-23
beitv2_base_patch16_224.in1k_ft_in1k	65.1M	12.7G	224	True	768	1000	imagenet-1k	Beit	beitv2_base_patch16_224	2023-05-09
beitv2_base_patch16_224.in1k_ft_in22k_in1k	65.1M	12.7G	224	True	768	1000	imagenet-1k	Beit	beitv2_base_patch16_224	2022-12-23
beit_base_patch16_224.in22k_ft_in22k_in1k	65.1M	12.7G	224	True	768	1000	imagenet-1k	Beit	beit_base_patch16_224	2022-12-23

ByobNet

69 models with model class ByobNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
repvgg_d2se.rvgg_in1k	133.2M	74.4G	320	True	2560	1000	imagenet-1k	ByobNet	repvgg_d2se	2023-08-24
resnet50x16_clip_gap.openai	136.0M	70.1G	384	False	3072	3072		ByobNet	resnet50x16_clip_gap	2024-12-27
repvgg_b3.rvgg_in1k	123.0M	29.1G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b3	2023-03-22
repvgg_b2.rvgg_in1k	88.9M	20.4G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b2	2023-03-22
resnet50x4_clip_gap.openai	65.5M	19.5G	288	False	2560	2560		ByobNet	resnet50x4_clip_gap	2024-12-27
repvgg_b3g4.rvgg_in1k	83.7M	17.8G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b3g4	2023-03-22
mobilevitv2_200.cvnets_in22k_ft_in1k_384	18.4M	16.1G	384	True	1024	1000	imagenet-1k	ByobNet	mobilevitv2_200	2023-04-25
repvgg_b1.rvgg_in1k	57.3M	13.1G	224	True	2048	1000	imagenet-1k	ByobNet	repvgg_b1	2023-03-22
repvgg_b2g4.rvgg_in1k	61.7M	12.6G	224	True	2560	1000	imagenet-1k	ByobNet	repvgg_b2g4	2023-03-22
mobilevitv2_175.cvnets_in22k_ft_in1k_384	14.2M	12.3G	384	True	896	1000	imagenet-1k	ByobNet	mobilevitv2_175	2023-04-25
regnetz_e8.ra3_in1k	57.5M	9.8G	256	True	2048	1000	imagenet-1k	ByobNet	regnetz_e8	2023-03-22
mobilevitv2_150.cvnets_in22k_ft_in1k_384	10.6M	9.1G	384	True	768	1000	imagenet-1k	ByobNet	mobilevitv2_150	2023-04-25
resnet101_clip_gap.yfcc15m	42.4M	9.1G	224	False	2048	2048		ByobNet	resnet101_clip_gap	2024-12-27
resnet101_clip_gap.openai	42.4M	9.1G	224	False	2048	2048		ByobNet	resnet101_clip_gap	2024-12-27
repvgg_b1g4.rvgg_in1k	39.9M	8.1G	224	True	2048	1000	imagenet-1k	ByobNet	repvgg_b1g4	2023-03-22
resnet61q.ra2_in1k	36.7M	7.8G	256	True	2048	1000	imagenet-1k	ByobNet	resnet61q	2023-03-22
mobilevitv2_200.cvnets_in22k_ft_in1k	18.4M	7.2G	256	True	1024	1000	imagenet-1k	ByobNet	mobilevitv2_200	2023-04-25
mobilevitv2_200.cvnets_in1k	18.4M	7.2G	256	True	1024	1000	imagenet-1k	ByobNet	mobilevitv2_200	2023-04-25
resnet51q.ra2_in1k	35.6M	6.3G	256	True	2048	1000	imagenet-1k	ByobNet	resnet51q	2023-03-22
regnetz_d32.ra3_in1k	27.5M	5.9G	256	True	1792	1000	imagenet-1k	ByobNet	regnetz_d32	2023-03-22
repvgg_a2.rvgg_in1k	28.2M	5.7G	224	True	1408	1000	imagenet-1k	ByobNet	repvgg_a2	2023-03-22
mobilevitv2_175.cvnets_in22k_ft_in1k	14.2M	5.5G	256	True	896	1000	imagenet-1k	ByobNet	mobilevitv2_175	2023-04-25
mobilevitv2_175.cvnets_in1k	14.2M	5.5G	256	True	896	1000	imagenet-1k	ByobNet	mobilevitv2_175	2023-04-25
gcresnet50t.ra2_in1k	25.8M	5.4G	256	True	2048	1000	imagenet-1k	ByobNet	gcresnet50t	2023-03-22
resnet50_clip_gap.yfcc15m	23.5M	5.4G	224	False	2048	2048		ByobNet	resnet50_clip_gap	2024-12-27
resnet50_clip_gap.openai	23.5M	5.4G	224	False	2048	2048		ByobNet	resnet50_clip_gap	2024-12-27
resnet50_clip_gap.cc12m	23.5M	5.4G	224	False	2048	2048		ByobNet	resnet50_clip_gap	2024-12-27
lambda_resnet50ts.a1h_in1k	21.5M	5.0G	256	True	2048	1000	imagenet-1k	ByobNet	lambda_resnet50ts	2023-04-27
gcresnet33ts.ra2_in1k	19.8M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	gcresnet33ts	2023-03-22
seresnet33ts.ra2_in1k	19.7M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	seresnet33ts	2023-03-22
eca_resnet33ts.ra2_in1k	19.6M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	eca_resnet33ts	2023-03-22
resnet33ts.ra2_in1k	19.6M	4.7G	256	True	1280	1000	imagenet-1k	ByobNet	resnet33ts	2023-03-22
resnet32ts.ra2_in1k	17.9M	4.6G	256	True	1536	1000	imagenet-1k	ByobNet	resnet32ts	2023-03-22
gernet_l.idstcv_in1k	31.0M	4.6G	256	True	2560	1000	imagenet-1k	ByobNet	gernet_l	2023-03-22
regnetz_d8_evos.ch_in1k	23.3M	4.5G	256	True	1792	1000	imagenet-1k	ByobNet	regnetz_d8_evos	2023-03-22
mobilevitv2_150.cvnets_in22k_ft_in1k	10.6M	4.0G	256	True	768	1000	imagenet-1k	ByobNet	mobilevitv2_150	2023-04-25
mobilevitv2_150.cvnets_in1k	10.6M	4.0G	256	True	768	1000	imagenet-1k	ByobNet	mobilevitv2_150	2023-04-25
regnetz_d8.ra3_in1k	23.3M	3.9G	256	True	1792	1000	imagenet-1k	ByobNet	regnetz_d8	2023-03-22
gcresnext50ts.ch_in1k	15.6M	3.7G	256	True	2048	1000	imagenet-1k	ByobNet	gcresnext50ts	2023-03-22
sebotnet33ts_256.a1h_in1k	13.6M	3.5G	256	True	1280	1000	imagenet-1k	ByobNet	sebotnet33ts_256	2023-04-27
repvgg_b0.rvgg_in1k	15.8M	3.4G	224	True	1280	1000	imagenet-1k	ByobNet	repvgg_b0	2023-03-22
botnet26t_256.c1_in1k	12.4M	3.2G	256	True	2048	1000	imagenet-1k	ByobNet	botnet26t_256	2023-04-27
gernet_m.idstcv_in1k	21.1M	3.0G	224	True	2560	1000	imagenet-1k	ByobNet	gernet_m	2023-03-22
lambda_resnet26t.c1_in1k	10.9M	3.0G	256	True	2048	1000	imagenet-1k	ByobNet	lambda_resnet26t	2023-04-27
mobileone_s4.apple_in1k	14.8M	3.0G	224	True	2048	1000	imagenet-1k	ByobNet	mobileone_s4	2023-08-24
lambda_resnet26rpt_256.c1_in1k	10.9M	2.9G	256	True	2048	1000	imagenet-1k	ByobNet	lambda_resnet26rpt_256	2023-04-27
mobilevitv2_125.cvnets_in1k	7.4M	2.8G	256	True	640	1000	imagenet-1k	ByobNet	mobilevitv2_125	2023-04-25
repvgg_a1.rvgg_in1k	14.1M	2.6G	224	True	1280	1000	imagenet-1k	ByobNet	repvgg_a1	2023-08-24
regnetz_c16_evos.ch_in1k	13.4M	2.5G	256	True	1536	1000	imagenet-1k	ByobNet	regnetz_c16_evos	2023-03-22
regnetz_c16.ra3_in1k	13.4M	2.5G	256	True	1536	1000	imagenet-1k	ByobNet	regnetz_c16	2023-03-22
gcresnext26ts.ch_in1k	10.4M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	gcresnext26ts	2023-03-22
seresnext26ts.ch_in1k	10.4M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	seresnext26ts	2023-03-22
eca_resnext26ts.ch_in1k	10.3M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	eca_resnext26ts	2023-03-22
resnext26ts.ra2_in1k	10.3M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	resnext26ts	2023-03-22
eca_botnext26ts_256.c1_in1k	10.6M	2.4G	256	True	2048	1000	imagenet-1k	ByobNet	eca_botnext26ts_256	2023-04-27
mobileone_s3.apple_in1k	10.1M	1.9G	224	True	2048	1000	imagenet-1k	ByobNet	mobileone_s3	2023-08-24
mobilevit_s.cvnets_in1k	5.6M	1.8G	256	True	640	1000	imagenet-1k	ByobNet	mobilevit_s	2023-04-25
mobilevitv2_100.cvnets_in1k	4.9M	1.8G	256	True	512	1000	imagenet-1k	ByobNet	mobilevitv2_100	2023-04-25
repvgg_a0.rvgg_in1k	9.1M	1.5G	224	True	1280	1000	imagenet-1k	ByobNet	repvgg_a0	2023-08-24
regnetz_b16.ra3_in1k	9.7M	1.4G	224	True	1536	1000	imagenet-1k	ByobNet	regnetz_b16	2023-03-22
mobileone_s2.apple_in1k	7.8M	1.3G	224	True	2048	1000	imagenet-1k	ByobNet	mobileone_s2	2023-08-24
mobileone_s0.apple_in1k	5.2M	1.1G	224	True	1024	1000	imagenet-1k	ByobNet	mobileone_s0	2023-08-24
mobilevitv2_075.cvnets_in1k	2.8M	1.0G	256	True	384	1000	imagenet-1k	ByobNet	mobilevitv2_075	2023-04-25
mobilevit_xs.cvnets_in1k	2.3M	912.0M	256	True	384	1000	imagenet-1k	ByobNet	mobilevit_xs	2023-04-25
mobileone_s1.apple_in1k	4.8M	830.1M	224	True	1280	1000	imagenet-1k	ByobNet	mobileone_s1	2023-08-24
gernet_s.idstcv_in1k	8.1M	744.2M	224	True	1920	1000	imagenet-1k	ByobNet	gernet_s	2023-03-22
mobilevitv2_050.cvnets_in1k	1.4M	464.6M	256	True	256	1000	imagenet-1k	ByobNet	mobilevitv2_050	2023-04-25
mobilevit_xxs.cvnets_in1k	1.3M	331.4M	256	True	320	1000	imagenet-1k	ByobNet	mobilevit_xxs	2023-04-25
test_byobnet.r160_in1k	454.5K	31.2M	160	True	256	1000	imagenet-1k	ByobNet	test_byobnet	2024-07-23

Cait

9 models with model class Cait.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
cait_m36_384.fb_dist_in1k	270.7M	154.7G	384	True	768	1000	imagenet-1k	Cait	cait_m36_384	2023-04-13
cait_s36_384.fb_dist_in1k	68.1M	38.8G	384	True	384	1000	imagenet-1k	Cait	cait_s36_384	2023-04-13
cait_s24_384.fb_dist_in1k	46.8M	26.0G	384	True	384	1000	imagenet-1k	Cait	cait_s24_384	2023-04-13
cait_xs24_384.fb_dist_in1k	26.5M	14.7G	384	True	288	1000	imagenet-1k	Cait	cait_xs24_384	2023-04-13
cait_xxs36_384.fb_dist_in1k	17.2M	9.8G	384	True	192	1000	imagenet-1k	Cait	cait_xxs36_384	2023-04-13
cait_s24_224.fb_dist_in1k	46.8M	8.6G	224	True	384	1000	imagenet-1k	Cait	cait_s24_224	2023-04-13
cait_xxs24_384.fb_dist_in1k	11.9M	6.6G	384	True	192	1000	imagenet-1k	Cait	cait_xxs24_384	2023-04-13
cait_xxs36_224.fb_dist_in1k	17.2M	3.2G	224	True	192	1000	imagenet-1k	Cait	cait_xxs36_224	2023-04-13
cait_xxs24_224.fb_dist_in1k	11.9M	2.2G	224	True	192	1000	imagenet-1k	Cait	cait_xxs24_224	2023-04-13

ConVit

3 models with model class ConVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convit_base.fb_in1k	86.4M	16.8G	224	True	768	1000	imagenet-1k	ConVit	convit_base	2023-04-24
convit_small.fb_in1k	27.7M	5.3G	224	True	432	1000	imagenet-1k	ConVit	convit_small	2023-04-24
convit_tiny.fb_in1k	5.7M	1.1G	224	True	192	1000	imagenet-1k	ConVit	convit_tiny	2023-04-24

ConvMixer

3 models with model class ConvMixer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convmixer_1536_20.in1k	51.6M	51.4G	224	True	1536	1000	imagenet-1k	ConvMixer	convmixer_1536_20	2023-04-24
convmixer_768_32.in1k	21.1M	20.9G	224	True	768	1000	imagenet-1k	ConvMixer	convmixer_768_32	2023-04-24
convmixer_1024_20_ks9_p14.in1k	24.4M	6.0G	224	True	1024	1000	imagenet-1k	ConvMixer	convmixer_1024_20_ks9_p14	2023-04-24

ConvNeXt

75 models with model class ConvNeXt.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convnext_large_mlp.clip_laion2b_soup_ft_in12k_384	216.7M	101.0G	384	True	1536	11821	imagenet-12k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_augreg_ft_in12k_384	216.7M	101.0G	384	True	1536	11821	imagenet-12k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384	200.0M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384	200.0M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-02-07
convnextv2_large.fcmae_ft_in22k_in1k_384	197.7M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnextv2_large	2023-01-05
convnext_large.fb_in22k_ft_in1k_384	197.7M	101.0G	384	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large	2022-12-13
convnext_large_mlp.clip_laion2b_soup_ft_in12k_320	216.7M	70.1G	320	True	1536	11821	imagenet-12k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320	200.0M	70.1G	320	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-04-01
convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-04-01
convnext_base.clip_laiona_augreg_ft_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-02-04
convnextv2_base.fcmae_ft_in22k_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnextv2_base	2023-01-05
convnext_base.fb_in22k_ft_in1k_384	88.5M	45.1G	384	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2022-12-13
convnext_large_mlp.clip_laion2b_augreg_ft_in1k	200.0M	44.9G	256	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large_mlp	2023-02-04
convnext_large.fb_in22k	229.7M	34.4G	224	True	1536	21841	imagenet-22k	ConvNeXt	convnext_large	2022-12-13
convnextv2_large.fcmae_ft_in22k_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnextv2_large	2023-01-05
convnextv2_large.fcmae_ft_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnextv2_large	2023-01-05
convnext_large.fb_in22k_ft_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large	2022-12-13
convnext_large.fb_in1k	197.7M	34.4G	224	True	1536	1000	imagenet-1k	ConvNeXt	convnext_large	2022-12-13
convnextv2_large.fcmae	196.1M	34.4G	224	False	1536	1536		ConvNeXt	convnextv2_large	2023-01-05
convnext_small.in12k_ft_in1k_384	50.2M	25.5G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2023-01-19
convnext_small.fb_in22k_ft_in1k_384	50.2M	25.5G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2022-12-13
convnext_base.clip_laion2b_augreg_ft_in12k	99.6M	20.1G	256	True	1024	11821	imagenet-12k	ConvNeXt	convnext_base	2023-04-01
convnext_base.clip_laion2b_augreg_ft_in12k_in1k	88.5M	20.1G	256	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-04-01
convnext_base.clip_laion2b_augreg_ft_in1k	88.5M	20.1G	256	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2023-02-04
convnext_base.fb_in22k	109.9M	15.4G	224	True	1024	21841	imagenet-22k	ConvNeXt	convnext_base	2022-12-13
convnextv2_base.fcmae_ft_in22k_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnextv2_base	2023-01-05
convnextv2_base.fcmae_ft_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnextv2_base	2023-01-05
convnext_base.fb_in22k_ft_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2022-12-13
convnext_base.fb_in1k	88.5M	15.4G	224	True	1024	1000	imagenet-1k	ConvNeXt	convnext_base	2022-12-13
convnextv2_base.fcmae	87.5M	15.4G	224	False	1024	1024		ConvNeXt	convnextv2_base	2023-01-05
convnext_tiny.in12k_ft_in1k_384	28.6M	13.1G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2023-01-19
convnextv2_tiny.fcmae_ft_in22k_in1k_384	28.6M	13.1G	384	True	768	1000	imagenet-1k	ConvNeXt	convnextv2_tiny	2023-01-05
convnext_tiny.fb_in22k_ft_in1k_384	28.6M	13.1G	384	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2022-12-13
convnext_small.fb_in22k	66.2M	8.7G	224	True	768	21841	imagenet-22k	ConvNeXt	convnext_small	2022-12-13
convnext_small.in12k	58.5M	8.7G	224	True	768	11821	imagenet-12k	ConvNeXt	convnext_small	2023-01-12
convnext_small.in12k_ft_in1k	50.2M	8.7G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2023-01-12
convnext_small.fb_in22k_ft_in1k	50.2M	8.7G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2022-12-13
convnext_small.fb_in1k	50.2M	8.7G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_small	2022-12-13
convnext_nano.r384_in12k	22.5M	7.2G	384	True	640	11821	imagenet-12k	ConvNeXt	convnext_nano	2025-01-01
convnext_nano.r384_ad_in12k	22.5M	7.2G	384	True	640	11821	imagenet-12k	ConvNeXt	convnext_nano	2025-01-01
convnext_nano.r384_in12k_ft_in1k	15.6M	7.2G	384	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano	2025-01-01
convnextv2_nano.fcmae_ft_in22k_in1k_384	15.6M	7.2G	384	True	640	1000	imagenet-1k	ConvNeXt	convnextv2_nano	2023-01-05
convnext_tiny.fb_in22k	44.6M	4.5G	224	True	768	21841	imagenet-22k	ConvNeXt	convnext_tiny	2022-12-13
convnext_tiny.in12k	36.9M	4.5G	224	True	768	11821	imagenet-12k	ConvNeXt	convnext_tiny	2023-01-12
convnext_tiny.in12k_ft_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2023-01-12
convnextv2_tiny.fcmae_ft_in22k_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnextv2_tiny	2023-01-05
convnextv2_tiny.fcmae_ft_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnextv2_tiny	2023-01-05
convnext_tiny_hnf.a2h_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny_hnf	2022-12-13
convnext_tiny.fb_in22k_ft_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2022-12-13
convnext_tiny.fb_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	ConvNeXt	convnext_tiny	2022-12-13
convnextv2_tiny.fcmae	27.8M	4.5G	224	False	768	768		ConvNeXt	convnextv2_tiny	2023-01-05
convnext_nano_ols.d1h_in1k	15.6M	2.6G	224	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano_ols	2022-12-13
convnext_nano.in12k	22.5M	2.5G	224	True	640	11821	imagenet-12k	ConvNeXt	convnext_nano	2022-12-13
convnextv2_nano.fcmae_ft_in22k_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnextv2_nano	2023-01-05
convnextv2_nano.fcmae_ft_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnextv2_nano	2023-01-05
convnext_nano.in12k_ft_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano	2022-12-13
convnext_nano.d1h_in1k	15.6M	2.4G	224	True	640	1000	imagenet-1k	ConvNeXt	convnext_nano	2022-12-13
convnextv2_nano.fcmae	14.9M	2.4G	224	False	640	640		ConvNeXt	convnextv2_nano	2023-01-05
convnext_pico_ols.d1_in1k	9.1M	1.4G	224	True	512	1000	imagenet-1k	ConvNeXt	convnext_pico_ols	2022-12-13
convnextv2_pico.fcmae_ft_in1k	9.0M	1.4G	224	True	512	1000	imagenet-1k	ConvNeXt	convnextv2_pico	2023-01-05
convnext_pico.d1_in1k	9.0M	1.4G	224	True	512	1000	imagenet-1k	ConvNeXt	convnext_pico	2022-12-13
convnextv2_pico.fcmae	8.5M	1.4G	224	False	512	512		ConvNeXt	convnextv2_pico	2023-01-05
convnext_femto_ols.d1_in1k	5.2M	813.1M	224	True	384	1000	imagenet-1k	ConvNeXt	convnext_femto_ols	2022-12-13
convnextv2_femto.fcmae_ft_in1k	5.2M	779.6M	224	True	384	1000	imagenet-1k	ConvNeXt	convnextv2_femto	2023-01-05
convnext_femto.d1_in1k	5.2M	779.6M	224	True	384	1000	imagenet-1k	ConvNeXt	convnext_femto	2022-12-13
convnextv2_femto.fcmae	4.8M	779.3M	224	False	384	384		ConvNeXt	convnextv2_femto	2023-01-05
convnext_atto_ols.a2_in1k	3.7M	576.6M	224	True	320	1000	imagenet-1k	ConvNeXt	convnext_atto_ols	2022-12-13
convnextv2_atto.fcmae_ft_in1k	3.7M	547.3M	224	True	320	1000	imagenet-1k	ConvNeXt	convnextv2_atto	2023-01-05
convnext_atto.d2_in1k	3.7M	547.3M	224	True	320	1000	imagenet-1k	ConvNeXt	convnext_atto	2022-12-13
convnextv2_atto.fcmae	3.4M	547.0M	224	False	320	320		ConvNeXt	convnextv2_atto	2023-01-05
convnext_zepto_rms_ols.ra4_e3600_r224_in1k	2.2M	337.1M	224	True	256	1000	imagenet-1k	ConvNeXt	convnext_zepto_rms_ols	2024-10-09
convnext_zepto_rms.ra4_e3600_r224_in1k	2.2M	302.2M	224	True	256	1000	imagenet-1k	ConvNeXt	convnext_zepto_rms	2024-10-01
test_convnext2.r160_in1k	476.1K	50.8M	160	True	128	1000	imagenet-1k	ConvNeXt	test_convnext2	2024-09-22
test_convnext3.r160_in1k	467.2K	49.8M	160	True	128	1000	imagenet-1k	ConvNeXt	test_convnext3	2024-09-22
test_convnext.r160_in1k	270.5K	31.2M	160	True	64	1000	imagenet-1k	ConvNeXt	test_convnext	2024-09-22

CspNet

15 models with model class CspNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
cs3se_edgenet_x.c2ns_in1k	50.7M	11.5G	256	True	1280	1000	imagenet-1k	CspNet	cs3se_edgenet_x	2023-04-13
cs3edgenet_x.c2_in1k	47.8M	11.5G	256	True	1280	1000	imagenet-1k	CspNet	cs3edgenet_x	2023-04-13
darknet53.c2ns_in1k	41.6M	9.3G	256	True	1024	1000	imagenet-1k	CspNet	darknet53	2023-04-13
cs3sedarknet_x.c2ns_in1k	35.4M	8.4G	256	True	1280	1000	imagenet-1k	CspNet	cs3sedarknet_x	2023-04-13
cs3darknet_x.c2ns_in1k	35.0M	8.4G	256	True	1280	1000	imagenet-1k	CspNet	cs3darknet_x	2023-04-13
darknetaa53.c2ns_in1k	36.0M	7.9G	256	True	1024	1000	imagenet-1k	CspNet	darknetaa53	2023-04-13
cspdarknet53.ra_in1k	27.6M	6.5G	256	True	1024	1000	imagenet-1k	CspNet	cspdarknet53	2023-04-13
cs3sedarknet_l.c2ns_in1k	21.9M	4.8G	256	True	1024	1000	imagenet-1k	CspNet	cs3sedarknet_l	2023-04-13
cs3darknet_l.c2ns_in1k	21.1M	4.8G	256	True	1024	1000	imagenet-1k	CspNet	cs3darknet_l	2023-04-13
cs3darknet_focus_l.c2ns_in1k	21.1M	4.6G	256	True	1024	1000	imagenet-1k	CspNet	cs3darknet_focus_l	2023-04-13
cspresnet50.ra_in1k	21.6M	4.5G	256	True	1024	1000	imagenet-1k	CspNet	cspresnet50	2023-04-13
cspresnext50.ra_in1k	20.5M	4.0G	256	True	2048	1000	imagenet-1k	CspNet	cspresnext50	2023-04-13
cs3darknet_m.c2ns_in1k	9.3M	2.1G	256	True	768	1000	imagenet-1k	CspNet	cs3darknet_m	2023-04-13
cs3darknet_focus_m.c2ns_in1k	9.3M	2.0G	256	True	768	1000	imagenet-1k	CspNet	cs3darknet_focus_m	2023-04-13
cs3darknet_focus_s.ra4_e3600_r256_in1k	3.3M	686.3M	256	True	512	1000	imagenet-1k	CspNet	cs3darknet_focus_s	2024-11-23

DLA

12 models with model class DLA.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
dla169.in1k	53.4M	11.6G	224	True	1024	1000	imagenet-1k	DLA	dla169	2023-04-25
dla102x2.in1k	41.3M	9.4G	224	True	1024	1000	imagenet-1k	DLA	dla102x2	2023-04-25
dla102.in1k	33.3M	7.2G	224	True	1024	1000	imagenet-1k	DLA	dla102	2023-04-25
dla102x.in1k	26.3M	5.9G	224	True	1024	1000	imagenet-1k	DLA	dla102x	2023-04-25
dla60.in1k	22.0M	4.3G	224	True	1024	1000	imagenet-1k	DLA	dla60	2023-04-25
dla60_res2net.in1k	20.8M	4.2G	224	True	1024	1000	imagenet-1k	DLA	dla60_res2net	2023-04-25
dla60x.in1k	17.4M	3.6G	224	True	1024	1000	imagenet-1k	DLA	dla60x	2023-04-25
dla60_res2next.in1k	17.0M	3.5G	224	True	1024	1000	imagenet-1k	DLA	dla60_res2next	2023-04-25
dla34.in1k	15.7M	3.1G	224	True	512	1000	imagenet-1k	DLA	dla34	2023-04-25
dla60x_c.in1k	1.3M	605.3M	224	True	256	1000	imagenet-1k	DLA	dla60x_c	2023-04-25
dla46_c.in1k	1.3M	592.3M	224	True	256	1000	imagenet-1k	DLA	dla46_c	2023-04-25
dla46x_c.in1k	1.1M	555.4M	224	True	256	1000	imagenet-1k	DLA	dla46x_c	2023-04-25

DPN

7 models with model class DPN.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
dpn107.mx_in1k	86.7M	18.3G	224	True	2688	1000	imagenet-1k	DPN	dpn107	2023-04-22
dpn131.mx_in1k	79.0M	16.0G	224	True	2688	1000	imagenet-1k	DPN	dpn131	2023-04-22
dpn98.mx_in1k	61.4M	11.7G	224	True	2688	1000	imagenet-1k	DPN	dpn98	2023-04-22
dpn92.mx_in1k	37.5M	6.5G	224	True	2688	1000	imagenet-1k	DPN	dpn92	2023-04-22
dpn68b.ra_in1k	12.5M	2.3G	224	True	832	1000	imagenet-1k	DPN	dpn68b	2023-04-22
dpn68b.mx_in1k	12.5M	2.3G	224	True	832	1000	imagenet-1k	DPN	dpn68b	2023-04-22
dpn68.mx_in1k	12.5M	2.3G	224	True	832	1000	imagenet-1k	DPN	dpn68	2023-04-22

DaVit

3 models with model class DaVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
davit_base.msft_in1k	87.9M	15.2G	224	True	1024	1000	imagenet-1k	DaVit	davit_base	2023-01-28
davit_small.msft_in1k	49.7M	8.6G	224	True	768	1000	imagenet-1k	DaVit	davit_small	2023-01-28
davit_tiny.msft_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	DaVit	davit_tiny	2023-01-28

DenseNet

6 models with model class DenseNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
densenet161.tv_in1k	28.5M	7.7G	224	True	2208	1000	imagenet-1k	DenseNet	densenet161	2023-04-22
densenet201.tv_in1k	19.8M	4.3G	224	True	1920	1000	imagenet-1k	DenseNet	densenet201	2023-04-22
densenet169.tv_in1k	14.0M	3.4G	224	True	1664	1000	imagenet-1k	DenseNet	densenet169	2023-04-22
densenetblur121d.ra_in1k	7.9M	3.1G	224	True	1024	1000	imagenet-1k	DenseNet	densenetblur121d	2023-04-22
densenet121.tv_in1k	7.9M	2.8G	224	True	1024	1000	imagenet-1k	DenseNet	densenet121	2023-04-22
densenet121.ra_in1k	7.9M	2.8G	224	True	1024	1000	imagenet-1k	DenseNet	densenet121	2023-04-22

EdgeNeXt

6 models with model class EdgeNeXt.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
edgenext_base.usi_in1k	18.5M	3.8G	256	True	584	1000	imagenet-1k	EdgeNeXt	edgenext_base	2023-04-24
edgenext_base.in21k_ft_in1k	18.5M	3.8G	256	True	584	1000	imagenet-1k	EdgeNeXt	edgenext_base	2023-04-24
edgenext_small_rw.sw_in1k	7.8M	1.6G	256	True	384	1000	imagenet-1k	EdgeNeXt	edgenext_small_rw	2023-04-24
edgenext_small.usi_in1k	5.6M	1.3G	256	True	304	1000	imagenet-1k	EdgeNeXt	edgenext_small	2023-04-24
edgenext_x_small.in1k	2.3M	532.5M	256	True	192	1000	imagenet-1k	EdgeNeXt	edgenext_x_small	2023-04-24
edgenext_xx_small.in1k	1.3M	257.0M	256	True	168	1000	imagenet-1k	EdgeNeXt	edgenext_xx_small	2023-04-24

EfficientNet

50 models with model class EfficientNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientnetv2_rw_m.agc_in1k	52.9M	12.6G	320	True	2152	1000	imagenet-1k	EfficientNet	efficientnetv2_rw_m	2022-12-13
efficientnet_b5.sw_in12k_ft_in1k	30.2M	9.4G	448	True	2048	1000	imagenet-1k	EfficientNet	efficientnet_b5	2022-12-13
efficientnet_b5.sw_in12k	52.4M	8.1G	416	True	2048	11821	imagenet-12k	EfficientNet	efficientnet_b5	2022-12-13
efficientnet_el_pruned.in1k	10.5M	7.9G	300	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_el_pruned	2022-12-13
efficientnet_el.ra_in1k	10.5M	7.9G	300	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_el	2022-12-13
efficientnetv2_rw_s.ra2_in1k	23.8M	4.9G	288	True	1792	1000	imagenet-1k	EfficientNet	efficientnetv2_rw_s	2022-12-13
efficientnet_b4.ra2_in1k	19.2M	3.1G	320	True	1792	1000	imagenet-1k	EfficientNet	efficientnet_b4	2022-12-13
efficientnet_em.ra2_in1k	6.8M	3.0G	240	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_em	2022-12-13
gc_efficientnetv2_rw_t.agc_in1k	13.6M	1.9G	224	True	1024	1000	imagenet-1k	EfficientNet	gc_efficientnetv2_rw_t	2022-12-13
efficientnetv2_rw_t.ra2_in1k	13.5M	1.9G	224	True	1024	1000	imagenet-1k	EfficientNet	efficientnetv2_rw_t	2022-12-13
mobilenet_edgetpu_v2_m.ra4_e3600_r224_in1k	8.4M	1.8G	224	True	1344	1000	imagenet-1k	EfficientNet	mobilenet_edgetpu_v2_m	2024-07-29
efficientnet_es_pruned.in1k	5.4M	1.8G	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_es_pruned	2022-12-13
efficientnet_es.ra_in1k	5.4M	1.8G	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_es	2022-12-13
efficientnet_b3.ra2_in1k	12.1M	1.6G	288	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_b3	2022-12-13
efficientnet_b3_pruned.in1k	8.2M	987.5M	300	True	1536	1000	imagenet-1k	EfficientNet	efficientnet_b3_pruned	2022-12-13
mixnet_xl.ra_in1k	11.8M	904.1M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_xl	2022-12-13
mobilenetv1_125.ra4_e3600_r224_in1k	6.2M	879.6M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv1_125	2024-08-15
efficientnet_b2.ra_in1k	9.0M	859.9M	256	True	1408	1000	imagenet-1k	EfficientNet	efficientnet_b2	2022-12-13
efficientnet_b2_pruned.in1k	6.8M	693.4M	260	True	1408	1000	imagenet-1k	EfficientNet	efficientnet_b2_pruned	2022-12-13
efficientnet_b1.ra4_e3600_r240_in1k	7.7M	686.9M	240	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b1	2024-08-17
mobilenetv2_120d.ra_in1k	5.8M	668.9M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_120d	2022-12-13
mobilenetv1_100h.ra4_e3600_r224_in1k	5.3M	620.2M	224	True	1024	1000	imagenet-1k	EfficientNet	mobilenetv1_100h	2024-07-26
mobilenetv2_140.ra_in1k	6.1M	582.3M	224	True	1792	1000	imagenet-1k	EfficientNet	mobilenetv2_140	2022-12-13
efficientnet_b1.ft_in1k	7.7M	569.7M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b1	2022-12-13
mobilenetv1_100.ra4_e3600_r224_in1k	4.2M	568.8M	224	True	1024	1000	imagenet-1k	EfficientNet	mobilenetv1_100	2024-07-26
mixnet_l.ft_in1k	7.3M	555.3M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_l	2022-12-13
mobilenetv2_110d.ra_in1k	4.5M	430.6M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_110d	2022-12-13
efficientnet_b0.ra4_e3600_r224_in1k	5.2M	385.9M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b0	2024-07-26
efficientnet_b0.ra_in1k	5.2M	385.9M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b0	2022-12-13
efficientnet_lite0.ra_in1k	4.6M	385.3M	224	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_lite0	2022-12-13
fbnetc_100.rmsp_in1k	5.5M	385.1M	224	True	1984	1000	imagenet-1k	EfficientNet	fbnetc_100	2022-12-13
efficientnet_b1_pruned.in1k	5.0M	373.1M	240	True	1280	1000	imagenet-1k	EfficientNet	efficientnet_b1_pruned	2022-12-13
mixnet_m.ft_in1k	5.0M	339.2M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_m	2022-12-13
tinynet_a.in1k	6.1M	336.9M	192	True	1280	1000	imagenet-1k	EfficientNet	tinynet_a	2022-12-13
spnasnet_100.rmsp_in1k	4.4M	333.5M	224	True	1280	1000	imagenet-1k	EfficientNet	spnasnet_100	2022-12-13
mnasnet_100.rmsp_in1k	4.3M	314.5M	224	True	1280	1000	imagenet-1k	EfficientNet	mnasnet_100	2022-12-13
semnasnet_100.rmsp_in1k	3.9M	311.6M	224	True	1280	1000	imagenet-1k	EfficientNet	semnasnet_100	2022-12-13
mobilenetv2_100.ra_in1k	3.5M	300.8M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_100	2022-12-13
mixnet_s.ft_in1k	4.1M	239.3M	224	True	1536	1000	imagenet-1k	EfficientNet	mixnet_s	2022-12-13
semnasnet_075.rmsp_in1k	2.9M	223.5M	224	True	1280	1000	imagenet-1k	EfficientNet	semnasnet_075	2022-12-13
tinynet_b.in1k	3.7M	200.8M	188	True	1280	1000	imagenet-1k	EfficientNet	tinynet_b	2022-12-13
tinynet_c.in1k	2.4M	99.6M	184	True	1280	1000	imagenet-1k	EfficientNet	tinynet_c	2022-12-13
mobilenetv2_050.lamb_in1k	2.0M	97.2M	224	True	1280	1000	imagenet-1k	EfficientNet	mobilenetv2_050	2022-12-13
mnasnet_small.lamb_in1k	2.0M	68.4M	224	True	1280	1000	imagenet-1k	EfficientNet	mnasnet_small	2022-12-13
test_efficientnet_ln.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet_ln	2024-09-22
test_efficientnet_gn.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet_gn	2024-09-22
test_efficientnet_evos.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet_evos	2024-09-22
test_efficientnet.r160_in1k	353.7K	57.3M	160	True	256	1000	imagenet-1k	EfficientNet	test_efficientnet	2024-07-23
tinynet_d.in1k	2.3M	51.6M	152	True	1280	1000	imagenet-1k	EfficientNet	tinynet_d	2022-12-13
tinynet_e.in1k	2.0M	24.4M	106	True	1280	1000	imagenet-1k	EfficientNet	tinynet_e	2022-12-13

EfficientVit

10 models with model class EfficientVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientvit_b3.r288_in1k	48.6M	6.5G	288	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b3	2023-08-19
efficientvit_b3.r256_in1k	48.6M	5.2G	256	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b3	2023-08-19
efficientvit_b3.r224_in1k	48.6M	3.9G	224	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b3	2023-08-19
efficientvit_b2.r288_in1k	24.3M	2.6G	288	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b2	2023-08-19
efficientvit_b2.r256_in1k	24.3M	2.1G	256	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b2	2023-08-19
efficientvit_b2.r224_in1k	24.3M	1.6G	224	True	2560	1000	imagenet-1k	EfficientVit	efficientvit_b2	2023-08-19
efficientvit_b1.r288_in1k	9.1M	871.0M	288	True	1600	1000	imagenet-1k	EfficientVit	efficientvit_b1	2023-08-19
efficientvit_b1.r256_in1k	9.1M	689.0M	256	True	1600	1000	imagenet-1k	EfficientVit	efficientvit_b1	2023-08-19
efficientvit_b1.r224_in1k	9.1M	528.5M	224	True	1600	1000	imagenet-1k	EfficientVit	efficientvit_b1	2023-08-19
efficientvit_b0.r224_in1k	3.4M	105.5M	224	True	1280	1000	imagenet-1k	EfficientVit	efficientvit_b0	2023-08-19

EfficientVitLarge

9 models with model class EfficientVitLarge.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientvit_l3.r384_in1k	246.0M	81.0G	384	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l3.r320_in1k	246.0M	56.3G	320	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l3.r256_in1k	246.0M	36.0G	256	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l3.r224_in1k	246.0M	27.6G	224	True	6400	1000	imagenet-1k	EfficientVitLarge	efficientvit_l3	2023-11-22
efficientvit_l2.r384_in1k	63.7M	20.4G	384	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l2.r288_in1k	63.7M	11.5G	288	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l2.r256_in1k	63.7M	9.1G	256	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l2.r224_in1k	63.7M	7.0G	224	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l2	2023-11-22
efficientvit_l1.r224_in1k	52.7M	5.3G	224	True	3200	1000	imagenet-1k	EfficientVitLarge	efficientvit_l1	2023-11-22

EfficientVitMsra

6 models with model class EfficientVitMsra.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
efficientvit_m5.r224_in1k	12.5M	525.4M	224	True	384	1000	imagenet-1k	EfficientVitMsra	efficientvit_m5	2023-08-19
efficientvit_m4.r224_in1k	8.8M	301.8M	224	True	384	1000	imagenet-1k	EfficientVitMsra	efficientvit_m4	2023-08-19
efficientvit_m3.r224_in1k	6.9M	265.1M	224	True	320	1000	imagenet-1k	EfficientVitMsra	efficientvit_m3	2023-08-19
efficientvit_m2.r224_in1k	4.2M	203.3M	224	True	224	1000	imagenet-1k	EfficientVitMsra	efficientvit_m2	2023-08-19
efficientvit_m1.r224_in1k	3.0M	169.4M	224	True	192	1000	imagenet-1k	EfficientVitMsra	efficientvit_m1	2023-08-19
efficientvit_m0.r224_in1k	2.3M	80.1M	224	True	192	1000	imagenet-1k	EfficientVitMsra	efficientvit_m0	2023-08-19

Eva

12 models with model class Eva.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
eva02_base_patch14_448.mim_in22k_ft_in22k	102.3M	87.5G	448	True	768	21841	imagenet-22k	Eva	eva02_base_patch14_448	2023-03-31
eva02_base_patch14_448.mim_in22k_ft_in22k_in1k	86.2M	87.5G	448	True	768	1000	imagenet-1k	Eva	eva02_base_patch14_448	2023-03-31
eva02_base_patch14_448.mim_in22k_ft_in1k	86.2M	87.5G	448	True	768	1000	imagenet-1k	Eva	eva02_base_patch14_448	2023-03-31
eva02_base_patch14_224.mim_in22k	85.5M	21.9G	224	False	768	768		Eva	eva02_base_patch14_224	2023-03-31
vit_base_patch16_rope_reg1_gap_256.sbb_in1k	65.1M	16.5G	256	True	768	1000	imagenet-1k	Eva	vit_base_patch16_rope_reg1_gap_256	2024-05-11
vit_mediumd_patch16_rope_reg1_gap_256.sbb_in1k	63.9M	16.3G	256	True	512	1000	imagenet-1k	Eva	vit_mediumd_patch16_rope_reg1_gap_256	2024-05-11
vit_betwixt_patch16_rope_reg4_gap_256.sbb_in1k	45.4M	11.6G	256	True	640	1000	imagenet-1k	Eva	vit_betwixt_patch16_rope_reg4_gap_256	2024-05-11
eva02_small_patch14_336.mim_in22k_ft_in1k	16.6M	9.3G	336	True	384	1000	imagenet-1k	Eva	eva02_small_patch14_336	2023-03-31
vit_medium_patch16_rope_reg1_gap_256.sbb_in1k	29.3M	7.4G	256	True	512	1000	imagenet-1k	Eva	vit_medium_patch16_rope_reg1_gap_256	2024-05-11
eva02_small_patch14_224.mim_in22k	16.2M	4.2G	224	False	384	384		Eva	eva02_small_patch14_224	2023-03-31
eva02_tiny_patch14_336.mim_in22k_ft_in1k	4.3M	2.4G	336	True	192	1000	imagenet-1k	Eva	eva02_tiny_patch14_336	2023-03-31
eva02_tiny_patch14_224.mim_in22k	4.1M	1.1G	224	False	192	192		Eva	eva02_tiny_patch14_224	2023-03-31

FastVit

14 models with model class FastVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
fastvit_ma36.apple_dist_in1k	44.0M	7.8G	256	True	1216	1000	imagenet-1k	FastVit	fastvit_ma36	2023-08-24
fastvit_ma36.apple_in1k	44.0M	7.8G	256	True	1216	1000	imagenet-1k	FastVit	fastvit_ma36	2023-08-24
fastvit_sa36.apple_dist_in1k	31.5M	5.6G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa36	2023-08-24
fastvit_sa36.apple_in1k	31.5M	5.6G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa36	2023-08-24
fastvit_sa24.apple_dist_in1k	21.5M	3.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa24	2023-08-24
fastvit_sa24.apple_in1k	21.5M	3.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa24	2023-08-24
fastvit_sa12.apple_dist_in1k	11.6M	1.9G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa12	2023-08-24
fastvit_sa12.apple_in1k	11.6M	1.9G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_sa12	2023-08-24
fastvit_s12.apple_dist_in1k	9.4M	1.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_s12	2023-08-24
fastvit_s12.apple_in1k	9.4M	1.8G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_s12	2023-08-24
fastvit_t12.apple_dist_in1k	7.5M	1.4G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_t12	2023-08-24
fastvit_t12.apple_in1k	7.5M	1.4G	256	True	1024	1000	imagenet-1k	FastVit	fastvit_t12	2023-08-24
fastvit_t8.apple_dist_in1k	4.0M	698.4M	256	True	768	1000	imagenet-1k	FastVit	fastvit_t8	2023-08-24
fastvit_t8.apple_in1k	4.0M	698.4M	256	True	768	1000	imagenet-1k	FastVit	fastvit_t8	2023-08-24

FocalNet

8 models with model class FocalNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
focalnet_large_fl4.ms_in22k	239.2M	105.0G	384	True	1536	21842	imagenet-22k-ms	FocalNet	focalnet_large_fl4	2023-03-18
focalnet_large_fl3.ms_in22k	239.0M	104.9G	384	True	1536	21842	imagenet-22k-ms	FocalNet	focalnet_large_fl3	2023-03-18
focalnet_base_lrf.ms_in1k	88.7M	15.4G	224	True	1024	1000	imagenet-1k	FocalNet	focalnet_base_lrf	2023-03-18
focalnet_base_srf.ms_in1k	88.1M	15.2G	224	True	1024	1000	imagenet-1k	FocalNet	focalnet_base_srf	2023-03-18
focalnet_small_lrf.ms_in1k	50.3M	8.7G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_small_lrf	2023-03-18
focalnet_small_srf.ms_in1k	49.9M	8.6G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_small_srf	2023-03-18
focalnet_tiny_lrf.ms_in1k	28.6M	4.5G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_tiny_lrf	2023-03-18
focalnet_tiny_srf.ms_in1k	28.4M	4.4G	224	True	768	1000	imagenet-1k	FocalNet	focalnet_tiny_srf	2023-03-18

GhostNet

4 models with model class GhostNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
ghostnetv2_160.in1k	11.1M	426.0M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnetv2_160	2023-08-20
ghostnetv2_130.in1k	7.7M	291.4M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnetv2_130	2023-08-20
ghostnetv2_100.in1k	4.9M	183.8M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnetv2_100	2023-08-20
ghostnet_100.in1k	3.9M	153.9M	224	True	1280	1000	imagenet-1k	GhostNet	ghostnet_100	2023-08-20

Hiera

10 models with model class Hiera.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
hiera_large_224.mae_in1k_ft_in1k	213.2M	38.5G	224	True	1152	1000	imagenet-1k	Hiera	hiera_large_224	2024-05-14
hiera_large_224.mae	212.0M	38.5G	224	False	1152	1152		Hiera	hiera_large_224	2024-05-14
hiera_base_plus_224.mae_in1k_ft_in1k	69.5M	12.0G	224	True	896	1000	imagenet-1k	Hiera	hiera_base_plus_224	2024-05-14
hiera_base_plus_224.mae	68.6M	12.0G	224	False	896	896		Hiera	hiera_base_plus_224	2024-05-14
hiera_base_224.mae_in1k_ft_in1k	51.2M	8.8G	224	True	768	1000	imagenet-1k	Hiera	hiera_base_224	2024-05-14
hiera_base_224.mae	50.4M	8.8G	224	False	768	768		Hiera	hiera_base_224	2024-05-14
hiera_small_224.mae_in1k_ft_in1k	34.7M	6.0G	224	True	768	1000	imagenet-1k	Hiera	hiera_small_224	2024-05-14
hiera_small_224.mae	33.9M	6.0G	224	False	768	768		Hiera	hiera_small_224	2024-05-14
hiera_tiny_224.mae_in1k_ft_in1k	27.6M	4.6G	224	True	768	1000	imagenet-1k	Hiera	hiera_tiny_224	2024-05-14
hiera_tiny_224.mae	26.8M	4.6G	224	False	768	768		Hiera	hiera_tiny_224	2024-05-14

HighPerfGpuNet

19 models with model class HighPerfGpuNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
hgnet_base.ssld_in1k	71.6M	25.2G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_base	2024-02-13
hgnetv2_b6.ssld_stage2_ft_in1k	75.3M	16.9G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b6	2024-02-13
hgnetv2_b6.ssld_stage1_in22k_in1k	75.3M	16.9G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b6	2024-02-13
hgnet_small.ssld_in1k	24.4M	8.5G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_small	2024-02-13
hgnet_small.paddle_in1k	24.4M	8.5G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_small	2024-02-13
hgnetv2_b5.ssld_stage2_ft_in1k	39.6M	6.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b5	2024-02-13
hgnetv2_b5.ssld_stage1_in22k_in1k	39.6M	6.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b5	2024-02-13
hgnet_tiny.ssld_in1k	14.7M	4.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_tiny	2024-02-13
hgnet_tiny.paddle_in1k	14.7M	4.6G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnet_tiny	2024-02-13
hgnetv2_b4.ssld_stage2_ft_in1k	19.8M	2.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b4	2024-02-13
hgnetv2_b4.ssld_stage1_in22k_in1k	19.8M	2.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b4	2024-02-13
hgnetv2_b3.ssld_stage2_ft_in1k	16.3M	1.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b3	2024-02-13
hgnetv2_b3.ssld_stage1_in22k_in1k	16.3M	1.8G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b3	2024-02-13
hgnetv2_b2.ssld_stage2_ft_in1k	11.2M	1.2G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b2	2024-02-13
hgnetv2_b2.ssld_stage1_in22k_in1k	11.2M	1.2G	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b2	2024-02-13
hgnetv2_b1.ssld_stage2_ft_in1k	6.3M	500.4M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b1	2024-02-13
hgnetv2_b1.ssld_stage1_in22k_in1k	6.3M	500.4M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b1	2024-02-13
hgnetv2_b0.ssld_stage2_ft_in1k	6.0M	329.9M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b0	2024-02-13
hgnetv2_b0.ssld_stage1_in22k_in1k	6.0M	329.9M	224	True	2048	1000	imagenet-1k	HighPerfGpuNet	hgnetv2_b0	2024-02-13

HighResolutionNet

14 models with model class HighResolutionNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
hrnet_w64.ms_in1k	128.1M	29.0G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w64	2023-04-25
hrnet_w48_ssld.paddle_in1k	77.5M	17.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w48_ssld	2023-04-25
hrnet_w48.ms_in1k	77.5M	17.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w48	2023-04-25
hrnet_w44.ms_in1k	67.1M	15.0G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w44	2023-04-25
hrnet_w40.ms_in1k	57.6M	12.8G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w40	2023-04-25
hrnet_w32.ms_in1k	41.2M	9.0G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w32	2023-04-25
hrnet_w30.ms_in1k	37.7M	8.2G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w30	2023-04-25
hrnet_w18_ssld.paddle_in1k	21.3M	4.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_ssld	2023-04-25
hrnet_w18.ms_in1k	21.3M	4.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18	2023-04-25
hrnet_w18.ms_aug_in1k	21.3M	4.4G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18	2023-04-25
hrnet_w18_small_v2.gluon_in1k	15.6M	2.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small_v2	2023-08-04
hrnet_w18_small_v2.ms_in1k	15.6M	2.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small_v2	2023-04-25
hrnet_w18_small.gluon_in1k	13.2M	1.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small	2023-08-04
hrnet_w18_small.ms_in1k	13.2M	1.6G	224	True	2048	1000	imagenet-1k	HighResolutionNet	hrnet_w18_small	2023-04-25

InceptionResnetV2

2 models with model class InceptionResnetV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_resnet_v2.tf_in1k	55.8M	13.2G	299	True	1536	1000	imagenet-1k	InceptionResnetV2	inception_resnet_v2	2023-04-26
inception_resnet_v2.tf_ens_adv_in1k	55.8M	13.2G	299	True	1536	1000	imagenet-1k	InceptionResnetV2	inception_resnet_v2	2023-04-26

InceptionV3

4 models with model class InceptionV3.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_v3.tv_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26
inception_v3.tf_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26
inception_v3.tf_adv_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26
inception_v3.gluon_in1k	23.8M	5.7G	299	True	2048	1000	imagenet-1k	InceptionV3	inception_v3	2023-04-26

InceptionV4

1 model with model class InceptionV4.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_v4.tf_in1k	42.6M	12.3G	299	True	1536	1000	imagenet-1k	InceptionV4	inception_v4	2023-04-26

MambaOut

12 models with model class MambaOut.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
mambaout_base_plus_rw.sw_e150_r384_in12k_ft_in1k	101.6M	56.3G	384	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_plus_rw	2024-10-15
mambaout_base_plus_rw.sw_e150_in12k	134.8M	19.2G	224	True	3072	11821	imagenet-12k	MambaOut	mambaout_base_plus_rw	2024-10-12
mambaout_base_plus_rw.sw_e150_in12k_ft_in1k	101.6M	19.2G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_plus_rw	2024-10-12
mambaout_base_wide_rw.sw_e500_in1k	94.4M	17.8G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_wide_rw	2024-10-12
mambaout_base_short_rw.sw_e500_in1k	88.8M	16.3G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_short_rw	2024-10-12
mambaout_base_tall_rw.sw_e500_in1k	86.4M	16.1G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base_tall_rw	2024-10-12
mambaout_base.in1k	84.8M	15.8G	224	True	3072	1000	imagenet-1k	MambaOut	mambaout_base	2024-10-12
mambaout_small_rw.sw_e450_in1k	48.5M	8.9G	224	True	2304	1000	imagenet-1k	MambaOut	mambaout_small_rw	2024-10-12
mambaout_small.in1k	48.5M	8.9G	224	True	2304	1000	imagenet-1k	MambaOut	mambaout_small	2024-10-12
mambaout_tiny.in1k	26.5M	4.5G	224	True	2304	1000	imagenet-1k	MambaOut	mambaout_tiny	2024-10-12
mambaout_kobe.in1k	9.1M	1.5G	224	True	1152	1000	imagenet-1k	MambaOut	mambaout_kobe	2024-10-12
mambaout_femto.in1k	7.3M	1.1G	224	True	1152	1000	imagenet-1k	MambaOut	mambaout_femto	2024-10-12

MaxxVit

48 models with model class MaxxVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
maxvit_large_tf_512.in21k_ft_in1k	211.3M	223.2G	512	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_512	2022-12-03
maxvit_large_tf_512.in1k	211.3M	223.2G	512	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_512	2022-12-03
maxvit_large_tf_384.in21k_ft_in1k	211.3M	125.6G	384	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_384	2022-12-03
maxvit_large_tf_384.in1k	211.3M	125.6G	384	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_384	2022-12-03
maxvit_base_tf_512.in21k_ft_in1k	119.1M	121.9G	512	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_512	2022-12-03
maxvit_base_tf_512.in1k	119.1M	121.9G	512	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_512	2022-12-03
maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k	116.0M	70.0G	384	True	1024	1000	imagenet-1k	MaxxVit	maxxvitv2_rmlp_base_rw_384	2023-01-21
maxvit_base_tf_384.in21k_ft_in1k	119.1M	68.6G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_384	2022-12-03
maxvit_base_tf_384.in1k	119.1M	68.6G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_384	2022-12-03
maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k	115.9M	66.2G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_rmlp_base_rw_384	2023-01-21
maxvit_small_tf_512.in1k	68.7M	58.9G	512	True	768	1000	imagenet-1k	MaxxVit	maxvit_small_tf_512	2022-12-03
coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k	73.8M	42.8G	384	True	1024	1000	imagenet-1k	MaxxVit	coatnet_rmlp_2_rw_384	2023-01-21
maxvit_large_tf_224.in21k	232.7M	42.8G	224	True	1024	21843	imagenet-21k-goog	MaxxVit	maxvit_large_tf_224	2023-05-11
maxvit_large_tf_224.in1k	211.3M	42.7G	224	True	1024	1000	imagenet-1k	MaxxVit	maxvit_large_tf_224	2022-12-03
maxvit_small_tf_384.in1k	68.7M	33.1G	384	True	768	1000	imagenet-1k	MaxxVit	maxvit_small_tf_384	2022-12-03
coatnet_3_rw_224.sw_in12k	181.4M	32.5G	224	True	1536	11821	imagenet-12k	MaxxVit	coatnet_3_rw_224	2023-01-21
maxvit_tiny_tf_512.in1k	30.8M	27.9G	512	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_tf_512	2022-12-03
maxxvitv2_rmlp_base_rw_224.sw_in12k	127.1M	23.8G	224	True	1024	11821	imagenet-12k	MaxxVit	maxxvitv2_rmlp_base_rw_224	2023-01-21
maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k	116.0M	23.8G	224	True	1024	1000	imagenet-1k	MaxxVit	maxxvitv2_rmlp_base_rw_224	2023-01-21
maxvit_base_tf_224.in21k	135.1M	23.4G	224	True	768	21843	imagenet-21k-goog	MaxxVit	maxvit_base_tf_224	2023-05-11
maxvit_base_tf_224.in1k	119.1M	23.3G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_base_tf_224	2022-12-03
maxvit_rmlp_base_rw_224.sw_in12k	124.3M	22.5G	224	True	768	11821	imagenet-12k	MaxxVit	maxvit_rmlp_base_rw_224	2023-01-21
maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k	115.9M	22.5G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_rmlp_base_rw_224	2023-01-21
maxvit_tiny_tf_384.in1k	30.8M	15.7G	384	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_tf_384	2022-12-03
coatnet_rmlp_2_rw_224.sw_in12k	84.9M	14.6G	224	True	1024	11821	imagenet-12k	MaxxVit	coatnet_rmlp_2_rw_224	2023-01-21
coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k	73.8M	14.6G	224	True	1024	1000	imagenet-1k	MaxxVit	coatnet_rmlp_2_rw_224	2023-01-21
coatnet_rmlp_2_rw_224.sw_in1k	73.8M	14.6G	224	True	1024	1000	imagenet-1k	MaxxVit	coatnet_rmlp_2_rw_224	2023-01-21
coatnet_2_rw_224.sw_in12k	84.7M	14.5G	224	True	1024	11821	imagenet-12k	MaxxVit	coatnet_2_rw_224	2023-01-21
coatnet_2_rw_224.sw_in12k_ft_in1k	73.6M	14.5G	224	True	1024	1000	imagenet-1k	MaxxVit	coatnet_2_rw_224	2023-01-21
maxxvit_rmlp_small_rw_256.sw_in1k	65.9M	14.2G	256	True	768	1000	imagenet-1k	MaxxVit	maxxvit_rmlp_small_rw_256	2023-01-21
maxvit_small_tf_224.in1k	68.7M	11.3G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_small_tf_224	2022-12-03
maxvit_rmlp_small_rw_224.sw_in1k	64.8M	10.4G	224	True	768	1000	imagenet-1k	MaxxVit	maxvit_rmlp_small_rw_224	2023-01-21
coatnet_rmlp_1_rw2_224.sw_in12k	50.0M	7.7G	224	True	768	11821	imagenet-12k	MaxxVit	coatnet_rmlp_1_rw2_224	2023-01-21
coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k	41.7M	7.7G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_rmlp_1_rw2_224	2023-01-21
coatnet_1_rw_224.sw_in1k	41.5M	7.6G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_1_rw_224	2023-01-21
coatnet_rmlp_1_rw_224.sw_in1k	41.6M	7.4G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_rmlp_1_rw_224	2023-01-21
maxvit_rmlp_tiny_rw_256.sw_in1k	29.1M	6.4G	256	True	512	1000	imagenet-1k	MaxxVit	maxvit_rmlp_tiny_rw_256	2023-01-21
maxxvitv2_nano_rw_256.sw_in1k	23.7M	6.1G	256	True	768	1000	imagenet-1k	MaxxVit	maxxvitv2_nano_rw_256	2023-01-21
maxvit_tiny_tf_224.in1k	30.8M	5.3G	224	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_tf_224	2022-12-03
maxvit_tiny_rw_224.sw_in1k	29.0M	4.9G	224	True	512	1000	imagenet-1k	MaxxVit	maxvit_tiny_rw_224	2023-01-21
coatnet_bn_0_rw_224.sw_in1k	27.4M	4.5G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_bn_0_rw_224	2023-01-21
maxvit_rmlp_nano_rw_256.sw_in1k	15.5M	4.2G	256	True	512	1000	imagenet-1k	MaxxVit	maxvit_rmlp_nano_rw_256	2023-01-21
maxvit_nano_rw_256.sw_in1k	15.4M	4.2G	256	True	512	1000	imagenet-1k	MaxxVit	maxvit_nano_rw_256	2023-01-21
coatnet_0_rw_224.sw_in1k	27.3M	4.2G	224	True	768	1000	imagenet-1k	MaxxVit	coatnet_0_rw_224	2023-01-21
maxxvit_rmlp_nano_rw_256.sw_in1k	16.8M	4.2G	256	True	512	1000	imagenet-1k	MaxxVit	maxxvit_rmlp_nano_rw_256	2023-01-21
coatnext_nano_rw_224.sw_in1k	14.6M	2.3G	224	True	512	1000	imagenet-1k	MaxxVit	coatnext_nano_rw_224	2023-01-21
coatnet_nano_rw_224.sw_in1k	15.1M	2.3G	224	True	512	1000	imagenet-1k	MaxxVit	coatnet_nano_rw_224	2023-01-21
maxvit_rmlp_pico_rw_256.sw_in1k	7.5M	1.7G	256	True	256	1000	imagenet-1k	MaxxVit	maxvit_rmlp_pico_rw_256	2023-01-21

MetaFormer

50 models with model class MetaFormer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
convformer_b36.sail_in22k_ft_in1k_384	99.8M	66.5G	384	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
convformer_b36.sail_in1k_384	99.8M	66.5G	384	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
caformer_b36.sail_in22k_ft_in1k_384	98.7M	65.9G	384	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
caformer_b36.sail_in1k_384	98.7M	65.9G	384	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
convformer_m36.sail_in22k_ft_in1k_384	57.0M	37.7G	384	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
convformer_m36.sail_in1k_384	57.0M	37.7G	384	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
caformer_m36.sail_in22k_ft_in1k_384	56.2M	37.3G	384	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
caformer_m36.sail_in1k_384	56.2M	37.3G	384	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
convformer_b36.sail_in22k	163.9M	22.7G	224	True	768	21841	imagenet-22k	MetaFormer	convformer_b36	2023-05-05
convformer_b36.sail_in22k_ft_in1k	99.8M	22.6G	224	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
convformer_b36.sail_in1k	99.8M	22.6G	224	True	768	1000	imagenet-1k	MetaFormer	convformer_b36	2023-05-05
caformer_b36.sail_in22k	162.7M	22.5G	224	True	768	21841	imagenet-22k	MetaFormer	caformer_b36	2023-05-05
convformer_s36.sail_in22k_ft_in1k_384	40.0M	22.4G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
convformer_s36.sail_in1k_384	40.0M	22.4G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
caformer_b36.sail_in22k_ft_in1k	98.7M	22.4G	224	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
caformer_b36.sail_in1k	98.7M	22.4G	224	True	768	1000	imagenet-1k	MetaFormer	caformer_b36	2023-05-05
caformer_s36.sail_in22k_ft_in1k_384	39.3M	22.1G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
caformer_s36.sail_in1k_384	39.3M	22.1G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
convformer_m36.sail_in22k	105.0M	12.9G	224	True	576	21841	imagenet-22k	MetaFormer	convformer_m36	2023-05-05
convformer_m36.sail_in22k_ft_in1k	57.0M	12.8G	224	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
convformer_m36.sail_in1k	57.0M	12.8G	224	True	576	1000	imagenet-1k	MetaFormer	convformer_m36	2023-05-05
caformer_m36.sail_in22k	104.2M	12.7G	224	True	576	21841	imagenet-22k	MetaFormer	caformer_m36	2023-05-05
caformer_m36.sail_in22k_ft_in1k	56.2M	12.7G	224	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
caformer_m36.sail_in1k	56.2M	12.7G	224	True	576	1000	imagenet-1k	MetaFormer	caformer_m36	2023-05-05
convformer_s18.sail_in22k_ft_in1k_384	26.7M	11.6G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
convformer_s18.sail_in1k_384	26.7M	11.6G	384	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
poolformerv2_m48.sail_in1k	73.3M	11.5G	224	True	768	1000	imagenet-1k	MetaFormer	poolformerv2_m48	2023-05-05
poolformer_m48.sail_in1k	73.4M	11.5G	224	True	768	1000	imagenet-1k	MetaFormer	poolformer_m48	2023-05-05
caformer_s18.sail_in22k_ft_in1k_384	26.3M	11.4G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
caformer_s18.sail_in1k_384	26.3M	11.4G	384	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
poolformerv2_m36.sail_in1k	56.0M	8.8G	224	True	768	1000	imagenet-1k	MetaFormer	poolformerv2_m36	2023-05-05
poolformer_m36.sail_in1k	56.1M	8.8G	224	True	768	1000	imagenet-1k	MetaFormer	poolformer_m36	2023-05-05
convformer_s36.sail_in22k	82.7M	7.7G	224	True	512	21841	imagenet-22k	MetaFormer	convformer_s36	2023-05-05
convformer_s36.sail_in22k_ft_in1k	40.0M	7.6G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
convformer_s36.sail_in1k	40.0M	7.6G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s36	2023-05-05
caformer_s36.sail_in22k	82.0M	7.6G	224	True	512	21841	imagenet-22k	MetaFormer	caformer_s36	2023-05-05
caformer_s36.sail_in22k_ft_in1k	39.3M	7.5G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
caformer_s36.sail_in1k	39.3M	7.5G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s36	2023-05-05
poolformerv2_s36.sail_in1k	30.8M	5.0G	224	True	512	1000	imagenet-1k	MetaFormer	poolformerv2_s36	2023-05-05
poolformer_s36.sail_in1k	30.8M	5.0G	224	True	512	1000	imagenet-1k	MetaFormer	poolformer_s36	2023-05-05
convformer_s18.sail_in22k	69.5M	4.0G	224	True	512	21841	imagenet-22k	MetaFormer	convformer_s18	2023-05-05
convformer_s18.sail_in22k_ft_in1k	26.7M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
convformer_s18.sail_in1k	26.7M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	convformer_s18	2023-05-05
caformer_s18.sail_in22k	69.0M	3.9G	224	True	512	21841	imagenet-22k	MetaFormer	caformer_s18	2023-05-05
caformer_s18.sail_in22k_ft_in1k	26.3M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
caformer_s18.sail_in1k	26.3M	3.9G	224	True	512	1000	imagenet-1k	MetaFormer	caformer_s18	2023-05-05
poolformerv2_s24.sail_in1k	21.3M	3.4G	224	True	512	1000	imagenet-1k	MetaFormer	poolformerv2_s24	2023-05-05
poolformer_s24.sail_in1k	21.3M	3.4G	224	True	512	1000	imagenet-1k	MetaFormer	poolformer_s24	2023-05-05
poolformerv2_s12.sail_in1k	11.9M	1.8G	224	True	512	1000	imagenet-1k	MetaFormer	poolformerv2_s12	2023-05-05
poolformer_s12.sail_in1k	11.9M	1.8G	224	True	512	1000	imagenet-1k	MetaFormer	poolformer_s12	2023-05-05

MetaNeXt

5 models with model class MetaNeXt.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
inception_next_base.sail_in1k_384	86.7M	43.7G	384	True	3072	1000	imagenet-1k	MetaNeXt	inception_next_base	2023-08-25
inception_next_base.sail_in1k	86.7M	14.9G	224	True	3072	1000	imagenet-1k	MetaNeXt	inception_next_base	2023-08-25
inception_next_small.sail_in1k	49.4M	8.4G	224	True	2304	1000	imagenet-1k	MetaNeXt	inception_next_small	2023-08-25
inception_next_tiny.sail_in1k	28.0M	4.2G	224	True	2304	1000	imagenet-1k	MetaNeXt	inception_next_tiny	2023-08-25
inception_next_atto.sail_in1k	4.2M	506.8M	224	True	960	1000	imagenet-1k	MetaNeXt	inception_next_atto	2024-12-07

MlpMixer

19 models with model class MlpMixer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
resmlp_big_24_224.fb_in22k_ft_in1k	129.0M	100.2G	224	True	768	1000	imagenet-1k	MlpMixer	resmlp_big_24_224	2023-03-28
resmlp_big_24_224.fb_in1k	129.0M	100.2G	224	True	768	1000	imagenet-1k	MlpMixer	resmlp_big_24_224	2023-03-28
resmlp_big_24_224.fb_distilled_in1k	129.0M	100.2G	224	True	768	1000	imagenet-1k	MlpMixer	resmlp_big_24_224	2023-03-28
mixer_l16_224.goog_in21k	229.6M	44.6G	224	True	1024	21843	imagenet-21k-goog	MlpMixer	mixer_l16_224	2023-03-28
mixer_l16_224.goog_in21k_ft_in1k	208.2M	44.6G	224	True	1024	1000	imagenet-1k	MlpMixer	mixer_l16_224	2023-03-28
mixer_b16_224.goog_in21k	75.9M	12.6G	224	True	768	21843	imagenet-21k-goog	MlpMixer	mixer_b16_224	2023-03-28
mixer_b16_224.miil_in21k	67.7M	12.6G	224	True	768	11221	imagenet-21k-miil	MlpMixer	mixer_b16_224	2023-03-28
mixer_b16_224.miil_in21k_ft_in1k	59.9M	12.6G	224	True	768	1000	imagenet-1k	MlpMixer	mixer_b16_224	2023-03-28
mixer_b16_224.goog_in21k_ft_in1k	59.9M	12.6G	224	True	768	1000	imagenet-1k	MlpMixer	mixer_b16_224	2023-03-28
resmlp_36_224.fb_in1k	44.6M	8.9G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_36_224	2023-03-28
resmlp_36_224.fb_distilled_in1k	44.6M	8.9G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_36_224	2023-03-28
resmlp_24_224.fb_in1k	30.0M	6.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_24_224	2023-03-28
resmlp_24_224.fb_distilled_in1k	30.0M	6.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_24_224	2023-03-28
resmlp_24_224.fb_dino	30.0M	6.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_24_224	2023-03-28
gmixer_24_224.ra3_in1k	24.7M	5.3G	224	True	384	1000	imagenet-1k	MlpMixer	gmixer_24_224	2023-03-28
gmlp_s16_224.ra3_in1k	19.4M	4.4G	224	True	256	1000	imagenet-1k	MlpMixer	gmlp_s16_224	2023-03-28
resmlp_12_224.fb_in1k	15.3M	3.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_12_224	2023-03-28
resmlp_12_224.fb_distilled_in1k	15.3M	3.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_12_224	2023-03-28
resmlp_12_224.fb_dino	15.3M	3.0G	224	True	384	1000	imagenet-1k	MlpMixer	resmlp_12_224	2023-03-28

MobileNetV3

45 models with model class MobileNetV3.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
mobilenetv4_conv_aa_large.e230_r448_in12k_ft_in1k	31.2M	9.5G	448	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_hybrid_large.ix_e600_r384_in1k	36.3M	7.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_large	2024-06-25
mobilenetv4_hybrid_large.e600_r384_in1k	36.3M	7.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_large	2024-06-18
mobilenetv4_conv_aa_large.e600_r384_in1k	31.2M	7.0G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_conv_aa_large.e230_r384_in12k_ft_in1k	31.2M	7.0G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_conv_aa_large.e230_r384_in12k	31.2M	7.0G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_aa_large	2024-07-26
mobilenetv4_conv_large.e600_r384_in1k	31.2M	6.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_large	2024-06-13
mobilenetv4_conv_large.e500_r256_in1k	31.2M	2.8G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_large	2024-06-12
mobilenetv4_hybrid_medium.ix_e550_r384_in1k	9.7M	2.8G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-06-25
mobilenetv4_conv_medium.e250_r384_in12k_ft_in1k	8.4M	2.4G	384	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_medium	2024-11-23
mobilenetv4_conv_medium.e250_r384_in12k	8.4M	2.4G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_medium	2024-11-18
mobilenetv4_conv_medium.e180_r384_in12k	8.4M	2.4G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_medium	2024-11-18
mobilenetv4_conv_medium.e180_ad_r384_in12k	8.4M	2.4G	384	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_conv_medium	2024-11-18
fbnetv3_g.ra2_in1k	14.5M	1.3G	240	True	1984	1000	imagenet-1k	MobileNetV3	fbnetv3_g	2022-12-16
mobilenetv4_hybrid_medium.e200_r256_in12k_ft_in1k	9.7M	1.2G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-07-26
mobilenetv4_hybrid_medium.e200_r256_in12k	9.7M	1.2G	256	True	1280	11821	imagenet-12k	MobileNetV3	mobilenetv4_hybrid_medium	2024-07-26
mobilenetv4_hybrid_medium.ix_e550_r256_in1k	9.7M	1.2G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-06-25
mobilenetv4_conv_blur_medium.e500_r224_in1k	8.4M	1.2G	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_blur_medium	2024-06-12
mobilenetv4_conv_medium.e500_r256_in1k	8.4M	1.1G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_medium	2024-06-12
mobilenetv3_large_150d.ra4_e3600_r256_in1k	13.3M	1.0G	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_150d	2024-09-03
mobilenetv4_hybrid_medium.e500_r224_in1k	9.7M	940.7M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_hybrid_medium	2024-06-12
mobilenetv4_conv_medium.e500_r224_in1k	8.4M	826.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_medium	2024-06-12
fbnetv3_d.ra2_in1k	8.3M	500.1M	224	True	1984	1000	imagenet-1k	MobileNetV3	fbnetv3_d	2022-12-16
fbnetv3_b.ra2_in1k	6.6M	405.6M	224	True	1984	1000	imagenet-1k	MobileNetV3	fbnetv3_b	2022-12-16
hardcorenas_f.miil_green_in1k	6.9M	340.7M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_f	2023-04-22
hardcorenas_e.miil_green_in1k	6.8M	337.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_e	2023-04-22
hardcorenas_d.miil_green_in1k	6.2M	286.6M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_d	2023-04-22
hardcorenas_c.miil_green_in1k	4.2M	268.8M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_c	2023-04-22
hardcorenas_b.miil_green_in1k	3.9M	250.6M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_b	2023-04-22
mobilenetv4_conv_small.e3600_r256_in1k	2.5M	241.0M	256	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small	2024-12-03
hardcorenas_a.miil_green_in1k	4.0M	223.0M	224	True	1280	1000	imagenet-1k	MobileNetV3	hardcorenas_a	2023-04-22
mobilenetv3_large_100.ra4_e3600_r224_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_100	2024-09-03
mobilenetv3_large_100.ra_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_100	2022-12-16
mobilenetv3_large_100.miil_in21k_ft_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_large_100	2022-12-16
mobilenetv3_large_100.miil_in21k	4.2M	215.4M	224	True	1280	11221	imagenet-21k-miil	MobileNetV3	mobilenetv3_large_100	2022-12-16
mobilenetv3_rw.rmsp_in1k	4.2M	215.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv3_rw	2022-12-16
mobilenetv4_conv_small.e2400_r224_in1k	2.5M	184.8M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small	2024-06-17
mobilenetv4_conv_small.e1200_r224_in1k	2.5M	184.8M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small	2024-06-12
lcnet_100.ra2_in1k	1.7M	154.4M	224	True	1280	1000	imagenet-1k	MobileNetV3	lcnet_100	2022-12-16
lcnet_075.ra2_in1k	1.1M	93.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	lcnet_075	2022-12-16
mobilenetv4_conv_small_050.e3000_r224_in1k	944.1K	63.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	mobilenetv4_conv_small_050	2024-09-23
mobilenetv3_small_100.lamb_in1k	1.5M	55.5M	224	True	1024	1000	imagenet-1k	MobileNetV3	mobilenetv3_small_100	2022-12-16
lcnet_050.ra2_in1k	594.4K	43.5M	224	True	1280	1000	imagenet-1k	MobileNetV3	lcnet_050	2022-12-16
mobilenetv3_small_075.lamb_in1k	1.0M	42.4M	224	True	1024	1000	imagenet-1k	MobileNetV3	mobilenetv3_small_075	2022-12-16
mobilenetv3_small_050.lamb_in1k	561.7K	23.2M	224	True	1024	1000	imagenet-1k	MobileNetV3	mobilenetv3_small_050	2022-12-16

MultiScaleVit

4 models with model class MultiScaleVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
mvitv2_large.fb_in1k	217.6M	40.6G	224	True	1152	1000	imagenet-1k	MultiScaleVit	mvitv2_large	2023-04-13
mvitv2_base.fb_in1k	51.2M	8.9G	224	True	768	1000	imagenet-1k	MultiScaleVit	mvitv2_base	2023-04-13
mvitv2_small.fb_in1k	34.7M	6.1G	224	True	768	1000	imagenet-1k	MultiScaleVit	mvitv2_small	2023-04-13
mvitv2_tiny.fb_in1k	24.1M	4.0G	224	True	768	1000	imagenet-1k	MultiScaleVit	mvitv2_tiny	2023-04-13

NASNetALarge

1 model with model class NASNetALarge.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
nasnetalarge.tf_in1k	88.6M	23.8G	331	True	4032	1000	imagenet-1k	NASNetALarge	nasnetalarge	2023-04-26

Nest

3 models with model class Nest.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
nest_base_jx.goog_in1k	67.0M	16.7G	224	True	512	1000	imagenet-1k	Nest	nest_base_jx	2023-04-24
nest_small_jx.goog_in1k	37.8M	9.4G	224	True	384	1000	imagenet-1k	Nest	nest_small_jx	2023-04-24
nest_tiny_jx.goog_in1k	16.5M	5.2G	224	True	384	1000	imagenet-1k	Nest	nest_tiny_jx	2023-04-24

NextViT

12 models with model class NextViT.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
nextvit_large.bd_ssld_6m_in1k_384	57.9M	31.6G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_large.bd_in1k_384	57.9M	31.6G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_base.bd_ssld_6m_in1k_384	44.8M	24.3G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_base.bd_in1k_384	44.8M	24.3G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_small.bd_ssld_6m_in1k_384	31.8M	17.0G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11
nextvit_small.bd_in1k_384	31.8M	17.0G	384	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11
nextvit_large.bd_ssld_6m_in1k	57.9M	10.7G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_large.bd_in1k	57.9M	10.7G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_large	2024-02-11
nextvit_base.bd_ssld_6m_in1k	44.8M	8.3G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_base.bd_in1k	44.8M	8.3G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_base	2024-02-11
nextvit_small.bd_ssld_6m_in1k	31.8M	5.8G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11
nextvit_small.bd_in1k	31.8M	5.8G	224	True	1024	1000	imagenet-1k	NextViT	nextvit_small	2024-02-11

NormFreeNet

11 models with model class NormFreeNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
dm_nfnet_f3.dm_in1k	90.5M	91.4M	320	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f3	2023-03-24
dm_nfnet_f2.dm_in1k	68.6M	69.2M	256	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f2	2023-03-24
dm_nfnet_f1.dm_in1k	46.8M	47.2M	224	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f1	2023-03-24
dm_nfnet_f0.dm_in1k	24.9M	25.3M	192	True	3072	1000	imagenet-1k	NormFreeNet	dm_nfnet_f0	2023-03-24
nfnet_l0.ra2_in1k	13.2M	13.7M	224	True	2304	1000	imagenet-1k	NormFreeNet	nfnet_l0	2023-03-24
nf_regnet_b1.ra2_in1k	5.3M	5.6M	256	True	960	1000	imagenet-1k	NormFreeNet	nf_regnet_b1	2023-03-24
eca_nfnet_l2.ra3_in1k	3.1M	4.4M	320	True	3072	1000	imagenet-1k	NormFreeNet	eca_nfnet_l2	2023-03-24
eca_nfnet_l1.ra2_in1k	3.1M	3.9M	256	True	3072	1000	imagenet-1k	NormFreeNet	eca_nfnet_l1	2023-03-24
eca_nfnet_l0.ra2_in1k	2.3M	2.9M	224	True	2304	1000	imagenet-1k	NormFreeNet	eca_nfnet_l0	2023-03-24
nf_resnet50.ra2_in1k	2.0M	2.6M	256	True	2048	1000	imagenet-1k	NormFreeNet	nf_resnet50	2023-03-24
test_nfnet.r160_in1k	208.8K	234.0K	160	True	192	1000	imagenet-1k	NormFreeNet	test_nfnet	2024-09-22

PNASNet5Large

1 model with model class PNASNet5Large.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
pnasnet5large.tf_in1k	84.9M	24.8G	331	True	4320	1000	imagenet-1k	PNASNet5Large	pnasnet5large	2023-04-26

PoolingVisionTransformer

4 models with model class PoolingVisionTransformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
pit_b_224.in1k	73.5M	10.6G	224	True	1024	1000	imagenet-1k	PoolingVisionTransformer	pit_b_224	2023-04-26
pit_s_224.in1k	23.4M	2.4G	224	True	576	1000	imagenet-1k	PoolingVisionTransformer	pit_s_224	2023-04-26
pit_xs_224.in1k	10.5M	1.1G	224	True	384	1000	imagenet-1k	PoolingVisionTransformer	pit_xs_224	2023-04-26
pit_ti_224.in1k	4.8M	500.3M	224	True	256	1000	imagenet-1k	PoolingVisionTransformer	pit_ti_224	2023-04-26

PyramidVisionTransformerV2

6 models with model class PyramidVisionTransformerV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
pvt_v2_b5.in1k	81.9M	11.4G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b5	2023-04-25
pvt_v2_b4.in1k	62.5M	9.8G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b4	2023-04-25
pvt_v2_b3.in1k	45.2M	6.7G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b3	2023-04-25
pvt_v2_b2.in1k	25.3M	3.9G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b2	2023-04-25
pvt_v2_b1.in1k	14.0M	2.0G	224	True	512	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b1	2023-04-25
pvt_v2_b0.in1k	3.7M	528.8M	224	True	256	1000	imagenet-1k	PyramidVisionTransformerV2	pvt_v2_b0	2023-04-25

RegNet

60 models with model class RegNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
regnety_640.seer_ft_in1k	281.2M	188.2G	384	True	4920	1000	imagenet-1k	RegNet	regnety_640	2023-03-21
regnety_320.swag_ft_in1k	144.9M	94.8G	384	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.seer_ft_in1k	144.9M	94.8G	384	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_640.seer	276.2M	64.1G	224	False	4920	4920		RegNet	regnety_640	2023-03-21
regnety_160.swag_ft_in1k	83.5M	46.7G	384	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_320.tv2_in1k	144.9M	32.3G	224	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.swag_lc_in1k	144.9M	32.3G	224	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.pycls_in1k	144.9M	32.3G	224	True	3712	1000	imagenet-1k	RegNet	regnety_320	2023-03-21
regnety_320.seer	141.2M	32.3G	224	False	3712	3712		RegNet	regnety_320	2023-03-21
regnetx_320.tv2_in1k	107.6M	31.7G	224	True	2520	1000	imagenet-1k	RegNet	regnetx_320	2023-03-21
regnetx_320.pycls_in1k	107.6M	31.7G	224	True	2520	1000	imagenet-1k	RegNet	regnetx_320	2023-03-21
regnety_160.sw_in12k	116.2M	15.9G	224	True	3024	11821	imagenet-12k	RegNet	regnety_160	2023-03-21
regnetx_160.tv2_in1k	54.2M	15.9G	224	True	2048	1000	imagenet-1k	RegNet	regnetx_160	2023-03-21
regnetx_160.pycls_in1k	54.2M	15.9G	224	True	2048	1000	imagenet-1k	RegNet	regnetx_160	2023-03-21
regnety_160.tv2_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.swag_lc_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.sw_in12k_ft_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.pycls_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.lion_in12k_ft_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_160.deit_in1k	83.5M	15.9G	224	True	3024	1000	imagenet-1k	RegNet	regnety_160	2023-03-21
regnety_120.sw_in12k	76.0M	12.1G	224	True	2240	11821	imagenet-12k	RegNet	regnety_120	2023-03-21
regnety_120.sw_in12k_ft_in1k	51.7M	12.1G	224	True	2240	1000	imagenet-1k	RegNet	regnety_120	2023-03-21
regnety_120.pycls_in1k	51.7M	12.1G	224	True	2240	1000	imagenet-1k	RegNet	regnety_120	2023-03-21
regnetx_120.pycls_in1k	46.0M	12.1G	224	True	2240	1000	imagenet-1k	RegNet	regnetx_120	2023-03-21
regnety_080_tv.tv2_in1k	39.3M	8.5G	224	True	2016	1000	imagenet-1k	RegNet	regnety_080_tv	2023-03-21
regnetx_080.tv2_in1k	39.5M	8.0G	224	True	1920	1000	imagenet-1k	RegNet	regnetx_080	2023-03-21
regnetx_080.pycls_in1k	39.5M	8.0G	224	True	1920	1000	imagenet-1k	RegNet	regnetx_080	2023-03-21
regnety_080.ra3_in1k	39.1M	8.0G	224	True	2016	1000	imagenet-1k	RegNet	regnety_080	2023-03-21
regnety_080.pycls_in1k	39.1M	8.0G	224	True	2016	1000	imagenet-1k	RegNet	regnety_080	2023-03-21
regnetx_064.pycls_in1k	26.1M	6.5G	224	True	1624	1000	imagenet-1k	RegNet	regnetx_064	2023-03-21
regnetv_064.ra3_in1k	30.5M	6.4G	224	True	1296	1000	imagenet-1k	RegNet	regnetv_064	2023-03-21
regnety_064.ra3_in1k	30.5M	6.4G	224	True	1296	1000	imagenet-1k	RegNet	regnety_064	2023-03-21
regnety_064.pycls_in1k	30.5M	6.4G	224	True	1296	1000	imagenet-1k	RegNet	regnety_064	2023-03-21
regnetz_040_h.ra3_in1k	28.8M	4.1G	256	True	1536	1000	imagenet-1k	RegNet	regnetz_040_h	2023-03-21
regnetz_040.ra3_in1k	27.0M	4.0G	256	True	528	1000	imagenet-1k	RegNet	regnetz_040	2023-03-21
regnety_040.ra3_in1k	20.6M	4.0G	224	True	1088	1000	imagenet-1k	RegNet	regnety_040	2023-03-21
regnety_040.pycls_in1k	20.6M	4.0G	224	True	1088	1000	imagenet-1k	RegNet	regnety_040	2023-03-21
regnetv_040.ra3_in1k	20.6M	4.0G	224	True	1088	1000	imagenet-1k	RegNet	regnetv_040	2023-03-21
regnetx_040.pycls_in1k	22.0M	4.0G	224	True	1360	1000	imagenet-1k	RegNet	regnetx_040	2023-03-21
regnetx_032.tv2_in1k	15.2M	3.2G	224	True	1008	1000	imagenet-1k	RegNet	regnetx_032	2023-03-21
regnetx_032.pycls_in1k	15.2M	3.2G	224	True	1008	1000	imagenet-1k	RegNet	regnetx_032	2023-03-21
regnety_032.tv2_in1k	19.4M	3.2G	224	True	1512	1000	imagenet-1k	RegNet	regnety_032	2023-03-21
regnety_032.ra_in1k	19.4M	3.2G	224	True	1512	1000	imagenet-1k	RegNet	regnety_032	2023-03-21
regnety_032.pycls_in1k	19.4M	3.2G	224	True	1512	1000	imagenet-1k	RegNet	regnety_032	2023-03-21
regnety_016.tv2_in1k	11.1M	1.6G	224	True	888	1000	imagenet-1k	RegNet	regnety_016	2023-03-21
regnety_016.pycls_in1k	11.1M	1.6G	224	True	888	1000	imagenet-1k	RegNet	regnety_016	2023-03-21
regnetx_016.tv2_in1k	9.1M	1.6G	224	True	912	1000	imagenet-1k	RegNet	regnetx_016	2023-03-21
regnetx_016.pycls_in1k	9.1M	1.6G	224	True	912	1000	imagenet-1k	RegNet	regnetx_016	2023-03-21
regnety_008_tv.tv2_in1k	6.4M	833.9M	224	True	784	1000	imagenet-1k	RegNet	regnety_008_tv	2023-03-21
regnetx_008.tv2_in1k	7.2M	799.7M	224	True	672	1000	imagenet-1k	RegNet	regnetx_008	2023-03-21
regnetx_008.pycls_in1k	7.2M	799.7M	224	True	672	1000	imagenet-1k	RegNet	regnetx_008	2023-03-21
regnety_008.pycls_in1k	6.2M	797.2M	224	True	768	1000	imagenet-1k	RegNet	regnety_008	2023-03-21
regnety_006.pycls_in1k	6.0M	601.3M	224	True	608	1000	imagenet-1k	RegNet	regnety_006	2023-03-21
regnetx_006.pycls_in1k	6.2M	600.9M	224	True	528	1000	imagenet-1k	RegNet	regnetx_006	2023-03-21
regnetx_004_tv.tv2_in1k	5.5M	413.8M	224	True	400	1000	imagenet-1k	RegNet	regnetx_004_tv	2023-03-21
regnety_004.tv2_in1k	4.3M	401.9M	224	True	440	1000	imagenet-1k	RegNet	regnety_004	2023-03-21
regnety_004.pycls_in1k	4.3M	401.9M	224	True	440	1000	imagenet-1k	RegNet	regnety_004	2023-03-21
regnetx_004.pycls_in1k	5.1M	397.7M	224	True	384	1000	imagenet-1k	RegNet	regnetx_004	2023-03-21
regnety_002.pycls_in1k	3.1M	199.5M	224	True	368	1000	imagenet-1k	RegNet	regnety_002	2023-03-21
regnetx_002.pycls_in1k	2.7M	199.1M	224	True	368	1000	imagenet-1k	RegNet	regnetx_002	2023-03-21

RepGhostNet

8 models with model class RepGhostNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
repghostnet_200.in1k	8.5M	559.5M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_200	2023-08-20
repghostnet_150.in1k	5.3M	333.9M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_150	2023-08-20
repghostnet_130.in1k	4.2M	259.4M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_130	2023-08-20
repghostnet_111.in1k	3.3M	193.6M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_111	2023-08-20
repghostnet_100.in1k	2.8M	163.6M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_100	2023-08-20
repghostnet_080.in1k	2.0M	112.4M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_080	2023-08-20
repghostnet_058.in1k	1.3M	73.1M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_058	2023-08-20
repghostnet_050.in1k	1.0M	53.4M	224	True	1280	1000	imagenet-1k	RepGhostNet	repghostnet_050	2023-08-20

RepVit

13 models with model class RepVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
repvit_m2_3.dist_450e_in1k	23.7M	4.6G	224	True	640	1000	imagenet-1k	RepVit	repvit_m2_3	2023-10-21
repvit_m2_3.dist_300e_in1k	23.7M	4.6G	224	True	640	1000	imagenet-1k	RepVit	repvit_m2_3	2023-10-21
repvit_m1_5.dist_450e_in1k	14.6M	2.3G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_5	2023-10-21
repvit_m1_5.dist_300e_in1k	14.6M	2.3G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_5	2023-10-21
repvit_m3.dist_in1k	10.7M	1.9G	224	True	512	1000	imagenet-1k	RepVit	repvit_m3	2023-08-26
repvit_m1_1.dist_450e_in1k	8.8M	1.4G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_1	2023-10-21
repvit_m1_1.dist_300e_in1k	8.8M	1.4G	224	True	512	1000	imagenet-1k	RepVit	repvit_m1_1	2023-10-21
repvit_m2.dist_in1k	8.8M	1.4G	224	True	512	1000	imagenet-1k	RepVit	repvit_m2	2023-08-26
repvit_m1_0.dist_450e_in1k	7.3M	1.1G	224	True	448	1000	imagenet-1k	RepVit	repvit_m1_0	2023-10-21
repvit_m1_0.dist_300e_in1k	7.3M	1.1G	224	True	448	1000	imagenet-1k	RepVit	repvit_m1_0	2023-10-21
repvit_m0_9.dist_450e_in1k	5.5M	847.1M	224	True	384	1000	imagenet-1k	RepVit	repvit_m0_9	2023-10-21
repvit_m0_9.dist_300e_in1k	5.5M	847.1M	224	True	384	1000	imagenet-1k	RepVit	repvit_m0_9	2023-10-21
repvit_m1.dist_in1k	5.5M	847.1M	224	True	384	1000	imagenet-1k	RepVit	repvit_m1	2023-08-26

ResNet

168 models with model class ResNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
seresnextaa201d_32x8d.sw_in12k_ft_in1k_384	149.4M	101.5G	384	True	2048	1000	imagenet-1k	ResNet	seresnextaa201d_32x8d	2023-07-27
resnest269e.in1k	110.9M	78.0G	416	True	2048	1000	imagenet-1k	ResNet	resnest269e	2023-04-24
seresnextaa201d_32x8d.sw_in12k	171.6M	70.5G	320	True	2048	11821	imagenet-12k	ResNet	seresnextaa201d_32x8d	2023-07-27
resnetrs420.tf_in1k	191.9M	64.4G	320	True	2048	1000	imagenet-1k	ResNet	resnetrs420	2023-04-06
resnetrs350.tf_in1k	164.0M	43.8G	288	True	2048	1000	imagenet-1k	ResNet	resnetrs350	2023-04-06
ecaresnet269d.ra2_in1k	102.1M	41.7G	320	True	2048	1000	imagenet-1k	ResNet	ecaresnet269d	2023-04-06
resnext101_32x16d.fb_wsl_ig1b_ft_in1k	194.0M	36.4G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x16d	2023-04-06
resnext101_32x16d.fb_swsl_ig1b_ft_in1k	194.0M	36.4G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x16d	2023-04-06
resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k	194.0M	36.4G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x16d	2023-04-06
resnest200e.in1k	70.2M	35.9G	320	True	2048	1000	imagenet-1k	ResNet	resnest200e	2023-04-24
seresnextaa101d_32x8d.sw_in12k_ft_in1k_288	93.6M	28.6G	288	True	2048	1000	imagenet-1k	ResNet	seresnextaa101d_32x8d	2023-04-06
resnetrs270.tf_in1k	129.9M	27.2G	256	True	2048	1000	imagenet-1k	ResNet	resnetrs270	2023-04-06
wide_resnet101_2.tv_in1k	126.9M	22.8G	224	True	2048	1000	imagenet-1k	ResNet	wide_resnet101_2	2023-04-06
senet154.gluon_in1k	115.1M	20.8G	224	True	2048	1000	imagenet-1k	ResNet	senet154	2023-04-06
resnetrs200.tf_in1k	93.2M	20.3G	256	True	2048	1000	imagenet-1k	ResNet	resnetrs200	2023-04-06
resnet200d.ra2_in1k	64.7M	20.1G	256	True	2048	1000	imagenet-1k	ResNet	resnet200d	2023-04-06
seresnextaa101d_32x8d.sw_in12k	115.8M	17.3G	224	True	2048	11821	imagenet-12k	ResNet	seresnextaa101d_32x8d	2023-04-06
seresnextaa101d_32x8d.sw_in12k_ft_in1k	93.6M	17.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnextaa101d_32x8d	2023-04-06
seresnextaa101d_32x8d.ah_in1k	93.6M	17.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnextaa101d_32x8d	2023-04-06
seresnext101d_32x8d.ah_in1k	93.6M	16.8G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101d_32x8d	2023-04-06
seresnext101_32x8d.ah_in1k	93.6M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101_32x8d	2023-04-06
resnext101_32x8d.tv_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnext101_32x8d.fb_wsl_ig1b_ft_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnext101_32x8d.fb_swsl_ig1b_ft_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k	88.8M	16.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnetrs152.tf_in1k	86.6M	15.7G	256	True	2048	1000	imagenet-1k	ResNet	resnetrs152	2023-04-06
seresnext101_64x4d.gluon_in1k	88.2M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101_64x4d	2023-04-06
resnext101_64x4d.tv_in1k	83.5M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_64x4d	2023-04-06
resnext101_64x4d.gluon_in1k	83.5M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_64x4d	2023-04-06
resnext101_64x4d.c1_in1k	83.5M	15.6G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_64x4d	2023-04-06
seresnet152d.ra2_in1k	66.8M	15.5G	256	True	2048	1000	imagenet-1k	ResNet	seresnet152d	2023-04-06
resnet152d.ra2_in1k	60.2M	15.5G	256	True	2048	1000	imagenet-1k	ResNet	resnet152d	2023-04-06
wide_resnet101_2.tv2_in1k	126.9M	14.3G	176	True	2048	1000	imagenet-1k	ResNet	wide_resnet101_2	2023-04-06
resnest101e.in1k	48.3M	13.4G	256	True	2048	1000	imagenet-1k	ResNet	resnest101e	2023-04-24
resnet152s.gluon_in1k	60.3M	13.0G	224	True	2048	1000	imagenet-1k	ResNet	resnet152s	2023-04-06
resnet152d.gluon_in1k	60.2M	11.8G	224	True	2048	1000	imagenet-1k	ResNet	resnet152d	2023-04-06
resnet152c.gluon_in1k	60.2M	11.8G	224	True	2048	1000	imagenet-1k	ResNet	resnet152c	2023-04-06
resnet152.tv_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.gluon_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.a2_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.a1h_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
resnet152.a1_in1k	60.2M	11.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
wide_resnet50_2.tv_in1k	68.9M	11.5G	224	True	2048	1000	imagenet-1k	ResNet	wide_resnet50_2	2023-04-06
wide_resnet50_2.racm_in1k	68.9M	11.5G	224	True	2048	1000	imagenet-1k	ResNet	wide_resnet50_2	2023-04-06
resnet101d.ra2_in1k	44.6M	10.6G	256	True	2048	1000	imagenet-1k	ResNet	resnet101d	2023-04-06
resnext101_32x8d.tv2_in1k	88.8M	10.4G	176	True	2048	1000	imagenet-1k	ResNet	resnext101_32x8d	2023-04-06
resnet101s.gluon_in1k	44.7M	9.2G	224	True	2048	1000	imagenet-1k	ResNet	resnet101s	2023-04-06
resnetaa101d.sw_in12k	66.7M	9.2G	224	True	2048	11821	imagenet-12k	ResNet	resnetaa101d	2023-04-06
resnetaa101d.sw_in12k_ft_in1k	44.6M	9.2G	224	True	2048	1000	imagenet-1k	ResNet	resnetaa101d	2023-04-06
res2net50_26w_8s.in1k	48.4M	8.4G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_26w_8s	2023-04-24
res2net101d.in1k	45.2M	8.4G	224	True	2048	1000	imagenet-1k	ResNet	res2net101d	2023-04-24
res2net101_26w_4s.in1k	45.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	res2net101_26w_4s	2023-04-24
ecaresnet101d.miil_in1k	44.6M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet101d	2023-04-06
resnet101d.gluon_in1k	44.6M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet101d	2023-04-06
resnet101c.gluon_in1k	44.6M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet101c	2023-04-06
seresnext101_32x4d.gluon_in1k	49.0M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnext101_32x4d	2023-04-06
resnext101_32x4d.gluon_in1k	44.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x4d	2023-04-06
resnext101_32x4d.fb_swsl_ig1b_ft_in1k	44.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x4d	2023-04-06
resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k	44.2M	8.1G	224	True	2048	1000	imagenet-1k	ResNet	resnext101_32x4d	2023-04-06
resnet101.tv_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.gluon_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.a2_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.a1h_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet101.a1_in1k	44.5M	7.9G	224	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
wide_resnet50_2.tv2_in1k	68.9M	7.3G	176	True	2048	1000	imagenet-1k	ResNet	wide_resnet50_2	2023-04-06
resnet152.tv2_in1k	60.2M	7.2G	176	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
res2net50_26w_6s.in1k	37.1M	6.4G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_26w_6s	2023-04-24
resnetrs101.tf_in1k	63.6M	6.1G	192	True	2048	1000	imagenet-1k	ResNet	resnetrs101	2023-04-06
resnet152.a3_in1k	60.2M	5.9G	160	True	2048	1000	imagenet-1k	ResNet	resnet152	2023-04-06
ecaresnet50t.ra2_in1k	25.6M	5.7G	256	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
resnet50s.gluon_in1k	25.7M	5.5G	224	True	2048	1000	imagenet-1k	ResNet	resnet50s	2023-04-06
resnetaa50d.sw_in12k	47.7M	5.4G	224	True	2048	11821	imagenet-12k	ResNet	resnetaa50d	2023-04-06
resnetaa50d.d_in12k	47.7M	5.4G	224	True	2048	11821	imagenet-12k	ResNet	resnetaa50d	2023-04-06
resnest50d.in1k	27.5M	5.4G	224	True	2048	1000	imagenet-1k	ResNet	resnest50d	2023-04-24
resnetaa50d.sw_in12k_ft_in1k	25.6M	5.4G	224	True	2048	1000	imagenet-1k	ResNet	resnetaa50d	2023-04-06
resnetaa50.a1h_in1k	25.6M	5.2G	224	True	2048	1000	imagenet-1k	ResNet	resnetaa50	2023-04-06
resnetblur50.bt_in1k	25.6M	5.2G	224	True	2048	1000	imagenet-1k	ResNet	resnetblur50	2023-04-06
resnet101.tv2_in1k	44.5M	4.9G	176	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
res2net50d.in1k	25.7M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	res2net50d	2023-04-24
resnext50d_32x4d.bt_in1k	25.0M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	resnext50d_32x4d	2023-04-06
skresnext50_32x4d.ra_in1k	27.4M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	skresnext50_32x4d	2023-04-24
resnest50d_1s4x24d.in1k	25.7M	4.5G	224	True	2048	1000	imagenet-1k	ResNet	resnest50d_1s4x24d	2023-04-24
resnest50d_4s2x40d.in1k	30.4M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnest50d_4s2x40d	2023-04-24
ecaresnet50d.miil_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet50d	2023-04-06
resnet50d.ra4_e3600_r224_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2024-08-17
resnet50d.ra2_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50d.gluon_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50d.a2_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50d.a1_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
resnet50c.gluon_in1k	25.6M	4.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet50c	2023-04-06
ecaresnet50t.a2_in1k	25.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
ecaresnet50t.a1_in1k	25.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
res2net50_26w_4s.in1k	25.7M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_26w_4s	2023-04-24
seresnext50_32x4d.racm_in1k	27.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnext50_32x4d	2023-04-06
seresnext50_32x4d.gluon_in1k	27.6M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	seresnext50_32x4d	2023-04-06
resnext50_32x4d.tv_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.ra_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.gluon_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.fb_swsl_ig1b_ft_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.a2_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.a1h_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
resnext50_32x4d.a1_in1k	25.0M	4.3G	224	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
res2net50_14w_8s.in1k	25.1M	4.2G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_14w_8s	2023-04-24
res2next50.in1k	24.7M	4.2G	224	True	2048	1000	imagenet-1k	ResNet	res2next50	2023-04-24
res2net50_48w_2s.in1k	25.3M	4.2G	224	True	2048	1000	imagenet-1k	ResNet	res2net50_48w_2s	2023-04-24
seresnet50.ra2_in1k	28.1M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
seresnet50.a2_in1k	28.1M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
seresnet50.a1_in1k	28.1M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
resnet50.tv_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.ram_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.ra_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.gluon_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.fb_swsl_ig1b_ft_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.fb_ssl_yfcc100m_ft_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.d_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.c2_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.c1_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.bt_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.b2k_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.b1k_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.am_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.a2_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.a1_in1k	25.6M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
ecaresnetlight.miil_in1k	30.2M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	ecaresnetlight	2023-04-06
resnet50_gn.a1h_in1k	25.5M	4.1G	224	True	2048	1000	imagenet-1k	ResNet	resnet50_gn	2023-04-06
resnet101.a3_in1k	44.5M	4.0G	160	True	2048	1000	imagenet-1k	ResNet	resnet101	2023-04-06
resnet34d.ra2_in1k	21.8M	3.9G	224	True	512	1000	imagenet-1k	ResNet	resnet34d	2023-04-06
resnet34.ra4_e3600_r224_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2024-11-01
resnet34.tv_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.gluon_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.bt_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.a2_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet34.a1_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
skresnet34.ra_in1k	22.3M	3.7G	224	True	512	1000	imagenet-1k	ResNet	skresnet34	2023-04-24
resnest26d.gluon_in1k	17.1M	3.7G	224	True	2048	1000	imagenet-1k	ResNet	resnest26d	2023-04-24
ecaresnet101d_pruned.miil_in1k	22.8M	3.5G	224	True	2042	1000	imagenet-1k	ResNet	ecaresnet101d_pruned	2023-04-06
ecaresnet26t.ra2_in1k	16.0M	3.4G	256	True	2048	1000	imagenet-1k	ResNet	ecaresnet26t	2023-04-06
resnet26t.ra2_in1k	16.0M	3.4G	256	True	2048	1000	imagenet-1k	ResNet	resnet26t	2023-04-06
resnest14d.gluon_in1k	10.6M	2.8G	224	True	2048	1000	imagenet-1k	ResNet	resnest14d	2023-04-24
seresnext26d_32x4d.bt_in1k	16.8M	2.8G	224	True	2048	1000	imagenet-1k	ResNet	seresnext26d_32x4d	2023-04-06
resnext50_32x4d.tv2_in1k	25.0M	2.7G	176	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
seresnext26t_32x4d.bt_in1k	16.8M	2.7G	224	True	2048	1000	imagenet-1k	ResNet	seresnext26t_32x4d	2023-04-06
resnet50.tv2_in1k	25.6M	2.6G	176	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet50.a1h_in1k	25.6M	2.6G	176	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet26d.bt_in1k	16.0M	2.6G	224	True	2048	1000	imagenet-1k	ResNet	resnet26d	2023-04-06
ecaresnet50d_pruned.miil_in1k	17.9M	2.5G	224	True	2022	1000	imagenet-1k	ResNet	ecaresnet50d_pruned	2023-04-06
resnet26.bt_in1k	16.0M	2.4G	224	True	2048	1000	imagenet-1k	ResNet	resnet26	2023-04-06
resnetrs50.tf_in1k	35.7M	2.3G	160	True	2048	1000	imagenet-1k	ResNet	resnetrs50	2023-04-06
resnet50d.a3_in1k	25.6M	2.2G	160	True	2048	1000	imagenet-1k	ResNet	resnet50d	2023-04-06
ecaresnet50t.a3_in1k	25.6M	2.2G	160	True	2048	1000	imagenet-1k	ResNet	ecaresnet50t	2023-04-06
resnext50_32x4d.a3_in1k	25.0M	2.2G	160	True	2048	1000	imagenet-1k	ResNet	resnext50_32x4d	2023-04-06
seresnet50.a3_in1k	28.1M	2.1G	160	True	2048	1000	imagenet-1k	ResNet	seresnet50	2023-04-06
resnet50.a3_in1k	25.6M	2.1G	160	True	2048	1000	imagenet-1k	ResNet	resnet50	2023-04-06
resnet18d.ra4_e3600_r224_in1k	11.7M	2.1G	224	True	512	1000	imagenet-1k	ResNet	resnet18d	2024-11-01
resnet18d.ra2_in1k	11.7M	2.1G	224	True	512	1000	imagenet-1k	ResNet	resnet18d	2023-04-06
resnet34.a3_in1k	21.8M	1.9G	160	True	512	1000	imagenet-1k	ResNet	resnet34	2023-04-06
resnet18.tv_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.gluon_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.fb_swsl_ig1b_ft_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.fb_ssl_yfcc100m_ft_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.a2_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet18.a1_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
skresnet18.ra_in1k	11.9M	1.8G	224	True	512	1000	imagenet-1k	ResNet	skresnet18	2023-04-24
resnet14t.c3_in1k	10.1M	1.1G	176	True	2048	1000	imagenet-1k	ResNet	resnet14t	2023-04-06
resnet18.a3_in1k	11.7M	930.9M	160	True	512	1000	imagenet-1k	ResNet	resnet18	2023-04-06
resnet10t.c3_in1k	5.4M	704.8M	176	True	512	1000	imagenet-1k	ResNet	resnet10t	2023-04-06
test_resnet.r160_in1k	469.7K	105.1M	160	True	96	1000	imagenet-1k	ResNet	test_resnet	2024-09-22

ResNetV2

18 models with model class ResNetV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
resnetv2_34d.ra4_e3600_r384_in1k	21.8M	11.5G	384	True	512	1000	imagenet-1k	ResNetV2	resnetv2_34d	2024-11-18
resnetv2_101.a1h_in1k	44.4M	7.8G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_101	2023-03-23
resnetv2_50d_gn.ah_in1k	25.5M	4.3G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50d_gn	2023-03-23
resnetv2_50d_evos.ah_in1k	25.5M	4.3G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50d_evos	2023-03-23
resnetv2_50.a1h_in1k	25.5M	4.1G	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50	2023-03-23
resnetv2_34d.ra4_e3600_r224_in1k	21.8M	3.9G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_34d	2024-11-01
resnetv2_34.ra4_e3600_r224_in1k	21.8M	3.7G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_34	2024-11-01
resnetv2_18d.ra4_e3600_r224_in1k	11.7M	2.1G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_18d	2024-11-01
resnetv2_18.ra4_e3600_r224_in1k	11.7M	1.8G	224	True	512	1000	imagenet-1k	ResNetV2	resnetv2_18	2024-11-01
resnetv2_101x1_bit.goog_in21k	44.8M	44.8M	224	True	2048	21843	imagenet-21k-goog	ResNetV2	resnetv2_101x1_bit	2023-03-23
resnetv2_50x1_bit.goog_in21k	44.8M	44.8M	224	True	2048	21843	imagenet-21k-goog	ResNetV2	resnetv2_50x1_bit	2023-03-23
resnetv2_50x3_bit.goog_in21k_ft_in1k	6.1M	7.4M	448	True	6144	1000	imagenet-1k	ResNetV2	resnetv2_50x3_bit	2023-03-23
resnetv2_152x2_bit.goog_in21k_ft_in1k	4.1M	4.9M	448	True	4096	1000	imagenet-1k	ResNetV2	resnetv2_152x2_bit	2023-03-23
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384	4.1M	4.7M	384	True	4096	1000	imagenet-1k	ResNetV2	resnetv2_152x2_bit	2023-03-23
resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k	4.1M	4.3M	224	True	4096	1000	imagenet-1k	ResNetV2	resnetv2_152x2_bit	2023-03-23
resnetv2_101x1_bit.goog_in21k_ft_in1k	2.0M	2.5M	448	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_101x1_bit	2023-03-23
resnetv2_50x1_bit.goog_in21k_ft_in1k	2.0M	2.5M	448	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50x1_bit	2023-03-23
resnetv2_50x1_bit.goog_distilled_in1k	2.0M	2.2M	224	True	2048	1000	imagenet-1k	ResNetV2	resnetv2_50x1_bit	2023-03-23

RexNet

9 models with model class RexNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
rexnet_300.nav_in1k	34.6M	3.4G	224	True	3840	1000	imagenet-1k	RexNet	rexnet_300	2023-03-21
rexnetr_300.sw_in12k	76.3M	3.4G	224	True	3840	11821	imagenet-12k	RexNet	rexnetr_300	2023-03-21
rexnetr_300.sw_in12k_ft_in1k	34.7M	3.3G	224	True	3840	1000	imagenet-1k	RexNet	rexnetr_300	2023-03-21
rexnetr_200.sw_in12k	44.2M	1.6G	224	True	2560	11821	imagenet-12k	RexNet	rexnetr_200	2023-03-21
rexnetr_200.sw_in12k_ft_in1k	16.4M	1.6G	224	True	2560	1000	imagenet-1k	RexNet	rexnetr_200	2023-03-21
rexnet_200.nav_in1k	16.3M	1.5G	224	True	2560	1000	imagenet-1k	RexNet	rexnet_200	2023-03-21
rexnet_150.nav_in1k	9.7M	875.9M	224	True	1920	1000	imagenet-1k	RexNet	rexnet_150	2023-03-21
rexnet_130.nav_in1k	7.5M	662.3M	224	True	1664	1000	imagenet-1k	RexNet	rexnet_130	2023-03-21
rexnet_100.nav_in1k	4.8M	398.4M	224	True	1280	1000	imagenet-1k	RexNet	rexnet_100	2023-03-21

SelecSls

3 models with model class SelecSls.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
selecsls60b.in1k	32.8M	3.6G	224	True	1024	1000	imagenet-1k	SelecSls	selecsls60b	2023-04-25
selecsls60.in1k	30.7M	3.6G	224	True	1280	1000	imagenet-1k	SelecSls	selecsls60	2023-04-25
selecsls42b.in1k	32.5M	3.0G	224	True	1024	1000	imagenet-1k	SelecSls	selecsls42b	2023-04-25

SwinTransformer

19 models with model class SwinTransformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
swin_large_patch4_window12_384.ms_in22k	228.5M	100.3G	384	True	1536	21841	imagenet-22k	SwinTransformer	swin_large_patch4_window12_384	2023-03-18
swin_large_patch4_window12_384.ms_in22k_ft_in1k	196.4M	100.3G	384	True	1536	1000	imagenet-1k	SwinTransformer	swin_large_patch4_window12_384	2023-03-18
swin_base_patch4_window12_384.ms_in22k	109.1M	44.7G	384	True	1024	21841	imagenet-22k	SwinTransformer	swin_base_patch4_window12_384	2023-03-18
swin_base_patch4_window12_384.ms_in22k_ft_in1k	87.7M	44.7G	384	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window12_384	2023-03-18
swin_base_patch4_window12_384.ms_in1k	87.7M	44.7G	384	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window12_384	2023-03-18
swin_large_patch4_window7_224.ms_in22k	228.5M	34.1G	224	True	1536	21841	imagenet-22k	SwinTransformer	swin_large_patch4_window7_224	2023-03-18
swin_large_patch4_window7_224.ms_in22k_ft_in1k	196.4M	34.1G	224	True	1536	1000	imagenet-1k	SwinTransformer	swin_large_patch4_window7_224	2023-03-18
swin_base_patch4_window7_224.ms_in22k	109.1M	15.2G	224	True	1024	21841	imagenet-22k	SwinTransformer	swin_base_patch4_window7_224	2023-03-18
swin_base_patch4_window7_224.ms_in22k_ft_in1k	87.7M	15.2G	224	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window7_224	2023-03-18
swin_base_patch4_window7_224.ms_in1k	87.7M	15.2G	224	True	1024	1000	imagenet-1k	SwinTransformer	swin_base_patch4_window7_224	2023-03-18
swin_s3_base_224.ms_in1k	70.9M	12.7G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_s3_base_224	2023-03-18
swin_s3_small_224.ms_in1k	49.6M	8.6G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_s3_small_224	2023-03-18
swin_small_patch4_window7_224.ms_in22k	65.6M	8.6G	224	True	768	21841	imagenet-22k	SwinTransformer	swin_small_patch4_window7_224	2023-03-18
swin_small_patch4_window7_224.ms_in22k_ft_in1k	49.6M	8.5G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_small_patch4_window7_224	2023-03-18
swin_small_patch4_window7_224.ms_in1k	49.6M	8.5G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_small_patch4_window7_224	2023-03-18
swin_tiny_patch4_window7_224.ms_in22k	44.3M	4.4G	224	True	768	21841	imagenet-22k	SwinTransformer	swin_tiny_patch4_window7_224	2023-03-18
swin_s3_tiny_224.ms_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_s3_tiny_224	2023-03-18
swin_tiny_patch4_window7_224.ms_in22k_ft_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_tiny_patch4_window7_224	2023-03-18
swin_tiny_patch4_window7_224.ms_in1k	28.3M	4.4G	224	True	768	1000	imagenet-1k	SwinTransformer	swin_tiny_patch4_window7_224	2023-03-18

SwinTransformerV2

12 models with model class SwinTransformerV2.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
swinv2_large_window12to24_192to384.ms_in22k_ft_in1k	149.6M	77.0G	384	True	1536	1000	imagenet-1k	SwinTransformerV2	swinv2_large_window12to24_192to384	2023-03-18
swinv2_base_window12to24_192to384.ms_in22k_ft_in1k	67.0M	34.6G	384	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window12to24_192to384	2023-03-18
swinv2_large_window12to16_192to256.ms_in22k_ft_in1k	149.6M	34.0G	256	True	1536	1000	imagenet-1k	SwinTransformerV2	swinv2_large_window12to16_192to256	2023-03-18
swinv2_large_window12_192.ms_in22k	181.6M	19.1G	192	True	1536	21841	imagenet-22k	SwinTransformerV2	swinv2_large_window12_192	2023-03-18
swinv2_base_window16_256.ms_in1k	67.0M	15.2G	256	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window16_256	2023-03-18
swinv2_base_window12to16_192to256.ms_in22k_ft_in1k	67.0M	15.2G	256	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window12to16_192to256	2023-03-18
swinv2_base_window8_256.ms_in1k	67.0M	15.0G	256	True	1024	1000	imagenet-1k	SwinTransformerV2	swinv2_base_window8_256	2023-03-18
swinv2_small_window16_256.ms_in1k	37.9M	8.6G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_small_window16_256	2023-03-18
swinv2_base_window12_192.ms_in22k	88.3M	8.6G	192	True	1024	21841	imagenet-22k	SwinTransformerV2	swinv2_base_window12_192	2023-03-18
swinv2_small_window8_256.ms_in1k	37.9M	8.5G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_small_window8_256	2023-03-18
swinv2_tiny_window16_256.ms_in1k	21.9M	4.4G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_tiny_window16_256	2023-03-18
swinv2_tiny_window8_256.ms_in1k	21.9M	4.4G	256	True	768	1000	imagenet-1k	SwinTransformerV2	swinv2_tiny_window8_256	2023-03-18

SwinTransformerV2Cr

3 models with model class SwinTransformerV2Cr.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
swinv2_cr_small_ns_224.sw_in1k	49.7M	8.8G	224	True	768	1000	imagenet-1k	SwinTransformerV2Cr	swinv2_cr_small_ns_224	2023-03-18
swinv2_cr_small_224.sw_in1k	49.7M	8.8G	224	True	768	1000	imagenet-1k	SwinTransformerV2Cr	swinv2_cr_small_224	2023-03-18
swinv2_cr_tiny_ns_224.sw_in1k	28.3M	4.5G	224	True	768	1000	imagenet-1k	SwinTransformerV2Cr	swinv2_cr_tiny_ns_224	2023-03-18

TResNet

10 models with model class TResNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
tresnet_xl.miil_in1k_448	78.3M	60.6G	448	True	2656	1000	imagenet-1k	TResNet	tresnet_xl	2023-04-22
tresnet_l.miil_in1k_448	55.9M	43.5G	448	True	2432	1000	imagenet-1k	TResNet	tresnet_l	2023-04-22
tresnet_m.miil_in1k_448	31.3M	22.9G	448	True	2048	1000	imagenet-1k	TResNet	tresnet_m	2023-04-22
tresnet_xl.miil_in1k	78.3M	15.2G	224	True	2656	1000	imagenet-1k	TResNet	tresnet_xl	2023-04-22
tresnet_l.miil_in1k	55.9M	10.9G	224	True	2432	1000	imagenet-1k	TResNet	tresnet_l	2023-04-22
tresnet_v2_l.miil_in21k	67.0M	8.8G	224	True	2048	11221	imagenet-21k-miil	TResNet	tresnet_v2_l	2023-04-22
tresnet_v2_l.miil_in21k_ft_in1k	46.1M	8.8G	224	True	2048	1000	imagenet-1k	TResNet	tresnet_v2_l	2023-04-22
tresnet_m.miil_in21k	52.3M	5.8G	224	True	2048	11221	imagenet-21k-miil	TResNet	tresnet_m	2023-04-22
tresnet_m.miil_in21k_ft_in1k	31.3M	5.7G	224	True	2048	1000	imagenet-1k	TResNet	tresnet_m	2023-04-22
tresnet_m.miil_in1k	31.3M	5.7G	224	True	2048	1000	imagenet-1k	TResNet	tresnet_m	2023-04-22

TinyVit

11 models with model class TinyVit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
tiny_vit_21m_512.dist_in22k_ft_in1k	21.2M	21.3G	512	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_512	2023-09-02
tiny_vit_21m_384.dist_in22k_ft_in1k	21.2M	12.0G	384	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_384	2023-09-02
tiny_vit_21m_224.dist_in22k	33.2M	4.1G	224	True	576	21841	imagenet-22k	TinyVit	tiny_vit_21m_224	2023-09-02
tiny_vit_21m_224.in1k	21.2M	4.1G	224	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_224	2023-09-02
tiny_vit_21m_224.dist_in22k_ft_in1k	21.2M	4.1G	224	True	576	1000	imagenet-1k	TinyVit	tiny_vit_21m_224	2023-09-02
tiny_vit_11m_224.dist_in22k	20.3M	1.9G	224	True	448	21841	imagenet-22k	TinyVit	tiny_vit_11m_224	2023-09-02
tiny_vit_11m_224.in1k	11.0M	1.9G	224	True	448	1000	imagenet-1k	TinyVit	tiny_vit_11m_224	2023-09-02
tiny_vit_11m_224.dist_in22k_ft_in1k	11.0M	1.9G	224	True	448	1000	imagenet-1k	TinyVit	tiny_vit_11m_224	2023-09-02
tiny_vit_5m_224.dist_in22k	12.1M	1.2G	224	True	320	21841	imagenet-22k	TinyVit	tiny_vit_5m_224	2023-09-02
tiny_vit_5m_224.in1k	5.4M	1.2G	224	True	320	1000	imagenet-1k	TinyVit	tiny_vit_5m_224	2023-09-02
tiny_vit_5m_224.dist_in22k_ft_in1k	5.4M	1.2G	224	True	320	1000	imagenet-1k	TinyVit	tiny_vit_5m_224	2023-09-02

Twins

6 models with model class Twins.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
twins_svt_large.in1k	99.3M	14.8G	224	True	1024	1000	imagenet-1k	Twins	twins_svt_large	2023-04-24
twins_pcpvt_large.in1k	61.0M	9.5G	224	True	512	1000	imagenet-1k	Twins	twins_pcpvt_large	2023-04-24
twins_svt_base.in1k	56.1M	8.4G	224	True	768	1000	imagenet-1k	Twins	twins_svt_base	2023-04-24
twins_pcpvt_base.in1k	43.8M	6.5G	224	True	512	1000	imagenet-1k	Twins	twins_pcpvt_base	2023-04-24
twins_pcpvt_small.in1k	24.1M	3.7G	224	True	512	1000	imagenet-1k	Twins	twins_pcpvt_small	2023-04-24
twins_svt_small.in1k	24.1M	2.8G	224	True	512	1000	imagenet-1k	Twins	twins_svt_small	2023-04-24

VGG

8 models with model class VGG.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
vgg19_bn.tv_in1k	143.7M	19.7G	224	True	4096	1000	imagenet-1k	VGG	vgg19_bn	2023-04-26
vgg19.tv_in1k	143.7M	19.6G	224	True	4096	1000	imagenet-1k	VGG	vgg19	2023-04-26
vgg16_bn.tv_in1k	138.4M	15.5G	224	True	4096	1000	imagenet-1k	VGG	vgg16_bn	2023-04-26
vgg16.tv_in1k	138.4M	15.5G	224	True	4096	1000	imagenet-1k	VGG	vgg16	2023-04-26
vgg13_bn.tv_in1k	133.1M	11.4G	224	True	4096	1000	imagenet-1k	VGG	vgg13_bn	2023-04-26
vgg13.tv_in1k	133.0M	11.3G	224	True	4096	1000	imagenet-1k	VGG	vgg13	2023-04-26
vgg11_bn.tv_in1k	132.9M	7.6G	224	True	4096	1000	imagenet-1k	VGG	vgg11_bn	2023-04-26
vgg11.tv_in1k	132.9M	7.6G	224	True	4096	1000	imagenet-1k	VGG	vgg11	2023-04-26

Visformer

2 models with model class Visformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
visformer_small.in1k	40.0M	4.8G	224	True	768	1000	imagenet-1k	Visformer	visformer_small	2023-04-27
visformer_tiny.in1k	10.2M	1.2G	224	True	384	1000	imagenet-1k	Visformer	visformer_tiny	2023-04-27

VisionTransformer

131 models with model class VisionTransformer.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
vit_base_patch14_reg4_dinov2.lvd142m	85.5M	117.4G	518	False	768	768		VisionTransformer	vit_base_patch14_reg4_dinov2	2023-10-30
vit_base_patch14_dinov2.lvd142m	85.5M	117.1G	518	False	768	768		VisionTransformer	vit_base_patch14_dinov2	2023-05-10
vit_base_patch16_siglip_512.webli	92.7M	88.9G	512	False	768	768		VisionTransformer	vit_base_patch16_siglip_512	2024-12-24
vit_base_patch16_siglip_gap_512.webli	85.6M	87.7G	512	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_512	2024-12-24
vit_so150m_patch16_reg4_gap_384.sbb_e250_in12k_ft_in1k	133.9M	77.1G	384	True	896	1000	imagenet-1k	VisionTransformer	vit_so150m_patch16_reg4_gap_384	2025-01-17
vit_base_patch8_224.augreg_in21k	102.0M	66.9G	224	True	768	21843	imagenet-21k-goog	VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch8_224.augreg_in21k_ft_in1k	86.0M	66.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch8_224.augreg2_in21k_ft_in1k	86.0M	66.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch8_224.dino	85.2M	66.8G	224	False	768	768		VisionTransformer	vit_base_patch8_224	2022-12-22
vit_base_patch16_siglip_384.webli	92.7M	50.0G	384	False	768	768		VisionTransformer	vit_base_patch16_siglip_384	2024-12-24
vit_base_r50_s16_384.orig_in21k_ft_in1k	86.6M	49.5G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_r50_s16_384	2022-12-23
vit_base_patch16_clip_384.openai_ft_in12k_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-12-01
vit_base_patch16_clip_384.laion2b_ft_in12k_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-11-11
vit_base_patch16_clip_384.openai_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-11-10
vit_base_patch16_clip_384.laion2b_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_384	2022-11-10
deit_base_patch16_384.fb_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	deit_base_patch16_384	2023-03-28
deit3_base_patch16_384.fb_in22k_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_384	2023-03-28
deit3_base_patch16_384.fb_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_384	2023-03-28
vit_base_patch16_384.orig_in21k_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_384	2022-12-22
vit_base_patch16_384.augreg_in21k_ft_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_384	2022-12-22
vit_base_patch16_384.augreg_in1k	86.4M	49.4G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_384	2022-12-22
vit_base_patch16_siglip_gap_384.webli	85.6M	49.3G	384	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_384	2024-12-24
vit_mediumd_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	64.0M	36.8G	384	True	512	1000	imagenet-1k	VisionTransformer	vit_mediumd_patch16_reg4_gap_384	2024-08-22
vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k	143.6M	34.6G	256	True	896	11821	imagenet-12k	VisionTransformer	vit_so150m_patch16_reg4_gap_256	2025-01-17
vit_so150m_patch16_reg4_gap_256.sbb_e250_in12k_ft_in1k	133.9M	34.6G	256	True	896	1000	imagenet-1k	VisionTransformer	vit_so150m_patch16_reg4_gap_256	2025-01-19
vit_betwixt_patch16_reg4_gap_384.sbb2_e200_in12k_ft_in1k	60.2M	34.5G	384	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_384	2024-08-22
vit_small_patch14_reg4_dinov2.lvd142m	21.5M	29.5G	518	False	384	384		VisionTransformer	vit_small_patch14_reg4_dinov2	2023-10-30
vit_small_patch14_dinov2.lvd142m	21.5M	29.5G	518	False	384	384		VisionTransformer	vit_small_patch14_dinov2	2023-05-10
vit_base_patch16_siglip_256.webli_i18n	92.7M	22.2G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_256	2024-12-24
vit_base_patch16_siglip_256.webli	92.7M	22.2G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_256	2024-12-24
vit_medium_patch16_gap_384.sw_in12k_ft_in1k	38.7M	22.0G	384	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_gap_384	2022-12-02
vit_base_patch16_siglip_gap_256.webli_i18n	85.6M	21.9G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_256	2024-12-24
vit_base_patch16_siglip_gap_256.webli	85.6M	21.9G	256	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_256	2024-12-24
flexivit_base.patch30_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.patch16_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.1000ep_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.300ep_in21k	102.4M	19.4G	240	True	768	21843	imagenet-21k-goog	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.1200ep_in1k	86.4M	19.3G	240	True	768	1000	imagenet-1k	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.600ep_in1k	86.4M	19.3G	240	True	768	1000	imagenet-1k	VisionTransformer	flexivit_base	2022-12-22
flexivit_base.300ep_in1k	86.4M	19.3G	240	True	768	1000	imagenet-1k	VisionTransformer	flexivit_base	2022-12-22
vit_base_patch32_clip_448.laion2b_ft_in12k_in1k	88.2M	17.2G	448	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_448	2022-11-06
vit_base_patch16_siglip_224.webli	92.7M	17.0G	224	False	768	768		VisionTransformer	vit_base_patch16_siglip_224	2024-12-24
vit_base_r50_s16_224.orig_in21k	85.8M	16.9G	224	False	768	768		VisionTransformer	vit_base_r50_s16_224	2022-12-23
vit_base_patch16_224.augreg_in21k	102.4M	16.9G	224	True	768	21843	imagenet-21k-goog	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_clip_224.openai_ft_in12k	94.7M	16.9G	224	True	768	11821	imagenet-12k	VisionTransformer	vit_base_patch16_clip_224	2022-11-22
vit_base_patch16_clip_224.laion2b_ft_in12k	94.7M	16.9G	224	True	768	11821	imagenet-12k	VisionTransformer	vit_base_patch16_clip_224	2022-11-10
vit_base_patch16_224_miil.in21k	94.2M	16.9G	224	True	768	11221	imagenet-21k-miil	VisionTransformer	vit_base_patch16_224_miil	2022-12-22
vit_base_patch16_clip_224.openai_ft_in12k_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-28
vit_base_patch16_clip_224.laion2b_ft_in12k_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-28
vit_base_patch16_clip_224.openai_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-09
vit_base_patch16_clip_224.laion2b_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_clip_224	2022-11-09
deit_base_patch16_224.fb_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	deit_base_patch16_224	2023-03-28
deit3_base_patch16_224.fb_in22k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_224	2023-03-28
deit3_base_patch16_224.fb_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	deit3_base_patch16_224	2023-03-28
vit_base_patch16_224_miil.in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224_miil	2022-12-22
vit_base_patch16_224.sam_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.orig_in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.augreg_in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.augreg_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.augreg2_in21k_ft_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_224.orig_in21k	85.6M	16.9G	224	False	768	768		VisionTransformer	vit_base_patch16_224	2023-11-17
vit_base_patch16_224.mae	85.6M	16.9G	224	False	768	768		VisionTransformer	vit_base_patch16_224	2023-05-10
vit_base_patch16_224.dino	85.6M	16.9G	224	False	768	768		VisionTransformer	vit_base_patch16_224	2022-12-22
vit_base_patch16_rpn_224.sw_in1k	86.4M	16.8G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch16_rpn_224	2022-12-22
vit_base_patch16_siglip_gap_224.webli	85.6M	16.8G	224	False	768	768		VisionTransformer	vit_base_patch16_siglip_gap_224	2024-12-24
vit_small_patch8_224.dino	21.4M	16.8G	224	False	384	384		VisionTransformer	vit_small_patch8_224	2022-12-22
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k	69.5M	16.5G	256	True	512	11821	imagenet-12k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-08-15
vit_mediumd_patch16_reg4_gap_256.sbb_in12k	69.5M	16.5G	256	True	512	11821	imagenet-12k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-05-11
vit_mediumd_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	64.0M	16.5G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-08-22
vit_mediumd_patch16_reg4_gap_256.sbb_in12k_ft_in1k	64.0M	16.5G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_mediumd_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k	67.2M	15.5G	256	True	640	11821	imagenet-12k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-08-15
vit_betwixt_patch16_reg4_gap_256.sbb_in12k	67.2M	15.5G	256	True	640	11821	imagenet-12k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg4_gap_256.sbb2_e200_in12k_ft_in1k	60.2M	15.5G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-08-22
vit_betwixt_patch16_reg4_gap_256.sbb_in12k_ft_in1k	60.2M	15.5G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg4_gap_256.sbb_in1k	60.2M	15.5G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg4_gap_256	2024-05-11
vit_betwixt_patch16_reg1_gap_256.sbb_in1k	60.2M	15.3G	256	True	640	1000	imagenet-1k	VisionTransformer	vit_betwixt_patch16_reg1_gap_256	2024-05-11
vit_base_patch32_clip_384.openai_ft_in12k_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_384	2022-11-11
vit_base_patch32_clip_384.laion2b_ft_in12k_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_384	2022-11-06
vit_base_patch32_384.augreg_in21k_ft_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_384	2022-12-22
vit_base_patch32_384.augreg_in1k	88.2M	12.7G	384	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_384	2022-12-22
deit3_small_patch16_384.fb_in22k_ft_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_384	2023-03-28
deit3_small_patch16_384.fb_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_384	2023-03-28
vit_small_patch16_384.augreg_in21k_ft_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_384	2022-12-22
vit_small_patch16_384.augreg_in1k	22.0M	12.4G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_384	2022-12-22
vit_medium_patch16_reg4_gap_256.sbb_in12k	44.3M	9.9G	256	True	512	11821	imagenet-12k	VisionTransformer	vit_medium_patch16_reg4_gap_256	2024-05-21
vit_medium_patch16_reg4_gap_256.sbb_in12k_ft_in1k	38.7M	9.9G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_reg4_gap_256	2024-05-21
vit_medium_patch16_reg4_gap_256.sbb_in1k	38.7M	9.9G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_reg4_gap_256	2024-05-11
vit_medium_patch16_reg1_gap_256.sbb_in1k	38.7M	9.8G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_reg1_gap_256	2024-05-11
vit_medium_patch16_gap_256.sw_in12k_ft_in1k	38.7M	9.8G	256	True	512	1000	imagenet-1k	VisionTransformer	vit_medium_patch16_gap_256	2022-12-02
vit_medium_patch16_gap_240.sw_in12k	44.3M	8.6G	240	True	512	11821	imagenet-12k	VisionTransformer	vit_medium_patch16_gap_240	2022-12-01
deit3_medium_patch16_224.fb_in22k_ft_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformer	deit3_medium_patch16_224	2023-03-28
deit3_medium_patch16_224.fb_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformer	deit3_medium_patch16_224	2023-03-28
vit_little_patch16_reg4_gap_256.sbb_in1k	22.4M	5.7G	256	True	320	1000	imagenet-1k	VisionTransformer	vit_little_patch16_reg4_gap_256	2024-05-11
vit_little_patch16_reg1_gap_256.sbb_in12k	25.9M	5.7G	256	True	320	11821	imagenet-12k	VisionTransformer	vit_little_patch16_reg1_gap_256	2024-05-28
vit_little_patch16_reg1_gap_256.sbb_in12k_ft_in1k	22.4M	5.7G	256	True	320	1000	imagenet-1k	VisionTransformer	vit_little_patch16_reg1_gap_256	2024-05-28
flexivit_small.1200ep_in1k	22.0M	4.9G	240	True	384	1000	imagenet-1k	VisionTransformer	flexivit_small	2022-12-22
flexivit_small.600ep_in1k	22.0M	4.9G	240	True	384	1000	imagenet-1k	VisionTransformer	flexivit_small	2022-12-22
flexivit_small.300ep_in1k	22.0M	4.9G	240	True	384	1000	imagenet-1k	VisionTransformer	flexivit_small	2022-12-22
vit_base_patch32_224.augreg_in21k	104.2M	4.4G	224	True	768	21843	imagenet-21k-goog	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_clip_224.openai_ft_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_224	2022-11-10
vit_base_patch32_clip_224.laion2b_ft_in12k_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_224	2022-11-06
vit_base_patch32_clip_224.laion2b_ft_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_clip_224	2022-11-02
vit_base_patch32_224.sam_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_224.augreg_in21k_ft_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_224.augreg_in1k	88.2M	4.4G	224	True	768	1000	imagenet-1k	VisionTransformer	vit_base_patch32_224	2022-12-22
vit_base_patch32_224.orig_in21k	87.4M	4.4G	224	False	768	768		VisionTransformer	vit_base_patch32_224	2023-11-17
vit_small_patch16_224.augreg_in21k	30.0M	4.3G	224	True	384	21843	imagenet-21k-goog	VisionTransformer	vit_small_patch16_224	2022-12-22
deit_small_patch16_224.fb_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	deit_small_patch16_224	2023-03-28
deit3_small_patch16_224.fb_in22k_ft_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_224	2023-03-28
deit3_small_patch16_224.fb_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	deit3_small_patch16_224	2023-03-28
vit_small_patch16_224.augreg_in21k_ft_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_224	2022-12-22
vit_small_patch16_224.augreg_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch16_224	2022-12-22
vit_small_patch16_224.dino	21.6M	4.2G	224	False	384	384		VisionTransformer	vit_small_patch16_224	2022-12-22
vit_pwee_patch16_reg1_gap_256.sbb_in1k	15.2M	3.8G	256	True	256	1000	imagenet-1k	VisionTransformer	vit_pwee_patch16_reg1_gap_256	2024-05-11
vit_wee_patch16_reg1_gap_256.sbb_in1k	13.3M	3.4G	256	True	256	1000	imagenet-1k	VisionTransformer	vit_wee_patch16_reg1_gap_256	2024-05-14
vit_small_patch32_384.augreg_in21k_ft_in1k	22.9M	3.3G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch32_384	2022-12-22
vit_small_r26_s32_384.augreg_in21k_ft_in1k	22.5M	3.2G	384	True	384	1000	imagenet-1k	VisionTransformer	vit_small_r26_s32_384	2022-12-23
vit_tiny_patch16_384.augreg_in21k_ft_in1k	5.7M	3.2G	384	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_patch16_384	2022-12-22
vit_small_patch32_224.augreg_in21k	30.9M	1.1G	224	True	384	21843	imagenet-21k-goog	VisionTransformer	vit_small_patch32_224	2022-12-22
vit_small_patch32_224.augreg_in21k_ft_in1k	22.9M	1.1G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_patch32_224	2022-12-22
vit_small_r26_s32_224.augreg_in21k	30.5M	1.1G	224	True	384	21843	imagenet-21k-goog	VisionTransformer	vit_small_r26_s32_224	2022-12-23
vit_small_r26_s32_224.augreg_in21k_ft_in1k	22.5M	1.1G	224	True	384	1000	imagenet-1k	VisionTransformer	vit_small_r26_s32_224	2022-12-23
vit_tiny_patch16_224.augreg_in21k	9.7M	1.1G	224	True	192	21843	imagenet-21k-goog	VisionTransformer	vit_tiny_patch16_224	2022-12-22
deit_tiny_patch16_224.fb_in1k	5.7M	1.1G	224	True	192	1000	imagenet-1k	VisionTransformer	deit_tiny_patch16_224	2023-03-28
vit_tiny_patch16_224.augreg_in21k_ft_in1k	5.7M	1.1G	224	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_patch16_224	2022-12-22
vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k	6.3M	885.9M	384	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_r_s16_p8_384	2022-12-23
vit_tiny_r_s16_p8_224.augreg_in21k	10.3M	309.1M	224	True	192	21843	imagenet-21k-goog	VisionTransformer	vit_tiny_r_s16_p8_224	2022-12-23
vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k	6.3M	305.1M	224	True	192	1000	imagenet-1k	VisionTransformer	vit_tiny_r_s16_p8_224	2022-12-23
test_vit3.r160_in1k	918.7K	77.1M	160	True	96	1000	imagenet-1k	VisionTransformer	test_vit3	2024-10-01
test_vit2.r160_in1k	448.2K	38.5M	160	True	64	1000	imagenet-1k	VisionTransformer	test_vit2	2024-09-22
test_vit.r160_in1k	364.7K	30.1M	160	True	64	1000	imagenet-1k	VisionTransformer	test_vit	2024-07-23

VisionTransformerRelPos

9 models with model class VisionTransformerRelPos.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
vit_relpos_base_patch16_clsgap_224.sw_in1k	86.4M	16.9G	224	True	768	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_base_patch16_clsgap_224	2022-12-23
vit_relpos_base_patch16_224.sw_in1k	86.4M	16.8G	224	True	768	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_base_patch16_224	2022-12-23
vit_relpos_base_patch32_plus_rpn_256.sw_in1k	119.4M	7.6G	256	True	896	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_base_patch32_plus_rpn_256	2022-12-23
vit_relpos_medium_patch16_cls_224.sw_in1k	38.8M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_medium_patch16_cls_224	2022-12-23
vit_relpos_medium_patch16_rpn_224.sw_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_medium_patch16_rpn_224	2022-12-23
vit_relpos_medium_patch16_224.sw_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_medium_patch16_224	2022-12-23
vit_srelpos_medium_patch16_224.sw_in1k	38.7M	7.5G	224	True	512	1000	imagenet-1k	VisionTransformerRelPos	vit_srelpos_medium_patch16_224	2022-12-23
vit_relpos_small_patch16_224.sw_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformerRelPos	vit_relpos_small_patch16_224	2022-12-23
vit_srelpos_small_patch16_224.sw_in1k	22.0M	4.2G	224	True	384	1000	imagenet-1k	VisionTransformerRelPos	vit_srelpos_small_patch16_224	2022-12-23

VovNet

3 models with model class VovNet.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
ese_vovnet57b.ra4_e3600_r256_in1k	38.6M	11.7G	256	True	1024	1000	imagenet-1k	VovNet	ese_vovnet57b	2025-01-17
ese_vovnet39b.ra_in1k	24.5M	7.1G	224	True	1024	1000	imagenet-1k	VovNet	ese_vovnet39b	2023-04-22
ese_vovnet19b_dw.ra_in1k	6.5M	1.3G	224	True	1024	1000	imagenet-1k	VovNet	ese_vovnet19b_dw	2023-04-22

XceptionAligned

6 models with model class XceptionAligned.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
xception71.tf_in1k	42.3M	18.2G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception71	2023-04-22
xception65.tf_in1k	39.9M	14.0G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception65	2023-04-22
xception65.ra3_in1k	39.9M	14.0G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception65	2023-04-22
xception65p.ra3_in1k	39.7M	13.9G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception65p	2023-04-22
xception41.tf_in1k	27.0M	9.3G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception41	2023-04-22
xception41p.ra3_in1k	26.9M	9.2G	299	True	2048	1000	imagenet-1k	XceptionAligned	xception41p	2023-04-22

Xcit

42 models with model class Xcit.

Name	Params	Flops	Input Size	Can Classify	Features	Classes	Dataset	Model	Architecture	Created At
xcit_large_24_p8_384.fb_dist_in1k	188.9M	410.9G	384	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p8_384	2023-04-13
xcit_medium_24_p8_384.fb_dist_in1k	84.3M	183.0G	384	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p8_384	2023-04-13
xcit_large_24_p8_224.fb_in1k	188.9M	139.8G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p8_224	2023-04-13
xcit_large_24_p8_224.fb_dist_in1k	188.9M	139.8G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p8_224	2023-04-13
xcit_large_24_p16_384.fb_dist_in1k	189.0M	104.3G	384	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p16_384	2023-04-13
xcit_small_24_p8_384.fb_dist_in1k	47.6M	103.2G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p8_384	2023-04-13
xcit_medium_24_p8_224.fb_in1k	84.3M	62.3G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p8_224	2023-04-13
xcit_medium_24_p8_224.fb_dist_in1k	84.3M	62.3G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p8_224	2023-04-13
xcit_small_12_p8_384.fb_dist_in1k	26.2M	53.9G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p8_384	2023-04-13
xcit_medium_24_p16_384.fb_dist_in1k	84.4M	46.5G	384	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p16_384	2023-04-13
xcit_large_24_p16_224.fb_in1k	189.0M	35.5G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p16_224	2023-04-13
xcit_large_24_p16_224.fb_dist_in1k	189.0M	35.5G	224	True	768	1000	imagenet-1k	Xcit	xcit_large_24_p16_224	2023-04-13
xcit_small_24_p8_224.fb_in1k	47.6M	35.1G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p8_224	2023-04-13
xcit_small_24_p8_224.fb_dist_in1k	47.6M	35.1G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p8_224	2023-04-13
xcit_small_24_p16_384.fb_dist_in1k	47.6M	26.2G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p16_384	2023-04-13
xcit_tiny_24_p8_384.fb_dist_in1k	12.1M	26.0G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p8_384	2023-04-13
xcit_small_12_p8_224.fb_in1k	26.2M	18.3G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p8_224	2023-04-13
xcit_small_12_p8_224.fb_dist_in1k	26.2M	18.3G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p8_224	2023-04-13
xcit_medium_24_p16_224.fb_in1k	84.4M	15.8G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p16_224	2023-04-13
xcit_medium_24_p16_224.fb_dist_in1k	84.4M	15.8G	224	True	512	1000	imagenet-1k	Xcit	xcit_medium_24_p16_224	2023-04-13
xcit_small_12_p16_384.fb_dist_in1k	26.2M	13.9G	384	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p16_384	2023-04-13
xcit_tiny_12_p8_384.fb_dist_in1k	6.7M	13.6G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p8_384	2023-04-13
xcit_small_24_p16_224.fb_in1k	47.6M	8.9G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p16_224	2023-04-13
xcit_small_24_p16_224.fb_dist_in1k	47.6M	8.9G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_24_p16_224	2023-04-13
xcit_tiny_24_p8_224.fb_in1k	12.1M	8.9G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p8_224	2023-04-13
xcit_tiny_24_p8_224.fb_dist_in1k	12.1M	8.9G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p8_224	2023-04-13
xcit_tiny_24_p16_384.fb_dist_in1k	12.1M	6.6G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p16_384	2023-04-13
xcit_nano_12_p8_384.fb_dist_in1k	3.0M	6.1G	384	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p8_384	2023-04-13
xcit_small_12_p16_224.fb_in1k	26.2M	4.7G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p16_224	2023-04-13
xcit_small_12_p16_224.fb_dist_in1k	26.2M	4.7G	224	True	384	1000	imagenet-1k	Xcit	xcit_small_12_p16_224	2023-04-13
xcit_tiny_12_p8_224.fb_in1k	6.7M	4.6G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p8_224	2023-04-13
xcit_tiny_12_p8_224.fb_dist_in1k	6.7M	4.6G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p8_224	2023-04-13
xcit_tiny_12_p16_384.fb_dist_in1k	6.7M	3.5G	384	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p16_384	2023-04-13
xcit_tiny_24_p16_224.fb_in1k	12.1M	2.3G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p16_224	2023-04-13
xcit_tiny_24_p16_224.fb_dist_in1k	12.1M	2.3G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_24_p16_224	2023-04-13
xcit_nano_12_p8_224.fb_in1k	3.0M	2.1G	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p8_224	2023-04-13
xcit_nano_12_p8_224.fb_dist_in1k	3.0M	2.1G	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p8_224	2023-04-13
xcit_nano_12_p16_384.fb_dist_in1k	3.0M	1.6G	384	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p16_384	2023-04-13
xcit_tiny_12_p16_224.fb_in1k	6.7M	1.2G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p16_224	2023-04-13
xcit_tiny_12_p16_224.fb_dist_in1k	6.7M	1.2G	224	True	192	1000	imagenet-1k	Xcit	xcit_tiny_12_p16_224	2023-04-13
xcit_nano_12_p16_224.fb_in1k	3.0M	538.2M	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p16_224	2023-04-13
xcit_nano_12_p16_224.fb_dist_in1k	3.0M	538.2M	224	True	128	1000	imagenet-1k	Xcit	xcit_nano_12_p16_224	2023-04-13

deepghs/timms

Models

Beit