import timm
import torch
import torchvision.transforms as T
from PIL import Image
from urllib.request import urlopen
model = timm.create_model("hf-hub:MHanzl/DF23M-mobilenetv2_100.ra_in1k_224", pretrained=True)
model = model.eval()
train_transforms = T.Compose([T.Resize([224, 224]), 
                              T.ToTensor(), 
                              T.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])]) 
img = Image.open(PATH_TO_YOUR_IMAGE)
output = model(train_transforms(img).unsqueeze(0))  # output is (batch_size, num_features) shaped tensor
# output is a (1, num_features) shaped tensor

MHanzl/DF23M-mobilenetv2_100.ra_in1k_224

Model card for MHanzl/DF23M-mobilenetv2_100.ra_in1k_224

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MHanzl/
DF23M-mobilenetv2_100.ra_in1k_224