Instructions to use Ozantsk/biomedclip-rocov2-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Ozantsk/biomedclip-rocov2-finetuned with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Ozantsk/biomedclip-rocov2-finetuned') tokenizer = open_clip.get_tokenizer('hf-hub:Ozantsk/biomedclip-rocov2-finetuned') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60718a0afabc059272f1722ff1f20adbc642c37b314079541651e48bb5105098
- Size of remote file:
- 784 MB
- SHA256:
- d9c10bc2a914bf2bcdae5e9e6ab2eb14dc000cac4d3d5c5b2db5b29476c7d426
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