Instructions to use EricPolaris/GenMedClip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use EricPolaris/GenMedClip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:EricPolaris/GenMedClip') tokenizer = open_clip.get_tokenizer('hf-hub:EricPolaris/GenMedClip') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from EricPolaris/GenMedClip: direct link, hf CLI and curl.
- Browser
- Download file 599 MB
-
https://huggingface.co/EricPolaris/GenMedClip/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://EricPolaris/GenMedClip/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/EricPolaris/GenMedClip/resolve/main/open_clip_pytorch_model.bin
599 MB
- Xet hash:
- b9d0d5eb86f7da904682a3ffa1d001416af7cbaa9b80d6a55afc024f67159dc1
- Size of remote file:
- 599 MB
- SHA256:
- 7eb4d63cd78d06269c01d5a81f5e83b477ef7397d5e9226192548f527d6ddddb
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