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LEAF-CLIP/
CLIP-ViT-L-rho20-k1-constrained-FARE2

Name: CLIP-ViT-L-rho20-k1-constrained-FARE2
Availability: InStock

safetensors

clip

ILSVRC/imagenet-1k

mlfoundations/datacomp_small

openai/clip-vit-large-patch14

finetune

mit

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Model Initialized from openai/clip-vit-large-patch14. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=20$ and semantic constraints.

To load this model use:

python

from transformers import CLIPProcessor, CLIPModel

model_name = "LEAF-CLIP/CLIP-ViT-L-rho20-k1-FARE2"
processor_name = "openai/clip-vit-large-patch14"

model = CLIPModel.from_pretrained(model_name)
processor = CLIPProcessor.from_pretrained(processor_name)

LEAF-CLIP/CLIP-ViT-L-rho20-k1-constrained-FARE2

LEAF-CLIP/
CLIP-ViT-L-rho20-k1-constrained-FARE2