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LEAF-CLIP/OpenCLIP-ViT-H-rho50-k1-constrained-FARE2

sourceHugging Facemitupdated 1y agoView on Hugging Face

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[[Paper]](https://www.arxiv.org/abs/2506.03355)   [[Code]](https://github.com/LIONS-EPFL/LEAF)

Model Initialized from laion/CLIP-ViT-H-14-laion2B-s32B-b79K. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$ and semantic constraints.

To load this model use:

python

from transformers import CLIPProcessor, CLIPModel

model_name = "LEAF-CLIP/OpenCLIP-ViT-H-rho50-k1-constrained-FARE2"
processor_name = "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"

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