Instructions to use Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224') tokenizer = open_clip.get_tokenizer('hf-hub:Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224: direct link, hf CLI and curl.
- Browser
- Download file 784 MB
-
https://huggingface.co/Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/Short3571/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224/resolve/main/open_clip_pytorch_model.bin
784 MB
- Xet hash:
- eab1452f5d51d95d632bc87ca1e541952e5dbccf8c404192f00559bba3b29757
- Size of remote file:
- 784 MB
- SHA256:
- 52cc993c5c5ff962bd0c60931874bc001e7e9b41666a385530f4a036294576be
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