Instructions to use timm/PE-Core-S-16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use timm/PE-Core-S-16-384 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:timm/PE-Core-S-16-384') tokenizer = open_clip.get_tokenizer('hf-hub:timm/PE-Core-S-16-384') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from timm/PE-Core-S-16-384: direct link, hf CLI and curl.
- Browser
- Download file 349 MB
-
https://huggingface.co/timm/PE-Core-S-16-384/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://timm/PE-Core-S-16-384/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/timm/PE-Core-S-16-384/resolve/main/open_clip_pytorch_model.bin
349 MB
- Xet hash:
- eb2aa53bcab19f91b597428189bcc1b37d0da243f2b90b24a0a5997edbc63e68
- Size of remote file:
- 349 MB
- SHA256:
- 32ea7d3a967d7eb3a707eaff0fc8c29d4a98468ad3463bf36c7b9ccbe9a72988
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