Instructions to use kbora/CS-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use kbora/CS-CLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:kbora/CS-CLIP') tokenizer = open_clip.get_tokenizer('hf-hub:kbora/CS-CLIP') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from kbora/CS-CLIP: direct link, hf CLI and curl.
- Browser
- Download file 605 MB
-
https://huggingface.co/kbora/CS-CLIP/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://kbora/CS-CLIP/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/kbora/CS-CLIP/resolve/main/open_clip_pytorch_model.bin
605 MB
- Xet hash:
- ed27bb1fc6ef8f2781fbe4f9fc04761b5dd93e730288abbdec7f1c66a26581f2
- Size of remote file:
- 605 MB
- SHA256:
- f514e7650964fcf954f095e2413dabaadb89b17a36030249042b18cdba3ec75b
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