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:
- 40630a702ba585e51913467bfd7ae1029e11d7b20d17a79cf74c826c133b5cf5
- Size of remote file:
- 113 MB
- SHA256:
- 7290a243875e3d6be9d32ea6bb5fc045f41a391c10cc2a12657d7afb3ab1350a
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