Instructions to use laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K') tokenizer = open_clip.get_tokenizer('hf-hub:laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K: direct link, hf CLI and curl.
- Browser
- Download file 599 MB
-
https://huggingface.co/laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/laion/CLIP-ViT-B-16-DataComp.L-s1B-b8K/resolve/main/open_clip_pytorch_model.bin
599 MB
- Xet hash:
- fe23342390a006a12d63b4d490a5700a983f13b31a81ae03ec19d934bd5134fd
- Size of remote file:
- 599 MB
- SHA256:
- 76fa97a82f73d78c43ad3319fd0d0423ed30db8d18031a5e913471f579b3086c
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