Instructions to use timm/vit_base_patch16_clip_224.metaclip_400m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/vit_base_patch16_clip_224.metaclip_400m with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/vit_base_patch16_clip_224.metaclip_400m') tokenizer = open_clip.get_tokenizer('hf-hub:timm/vit_base_patch16_clip_224.metaclip_400m') - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from timm/vit_base_patch16_clip_224.metaclip_400m: direct link, hf CLI and curl.
- Browser
- Download file 345 MB
-
https://huggingface.co/timm/vit_base_patch16_clip_224.metaclip_400m/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://timm/vit_base_patch16_clip_224.metaclip_400m/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/timm/vit_base_patch16_clip_224.metaclip_400m/resolve/main/pytorch_model.bin
345 MB
- Xet hash:
- 2fe0595a2057d7fa2d0ab0de2df59c37cc52d0e0d1f8c1e2fb4b3cfa9ae6f654
- Size of remote file:
- 345 MB
- SHA256:
- f2b26e90ae63aa9abe2f8b7b7cb8b78bdd41832526f6784393fb5f0d6ab6bee5
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