Instructions to use microsoft/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 microsoft/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:microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224') tokenizer = open_clip.get_tokenizer('hf-hub:microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224') - Notebooks
- Google Colab
- Kaggle
Download open_clip_pytorch_model.bin from microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224: direct link, hf CLI and curl.
- Browser
- Download file 786 MB
-
https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224/resolve/refs%2Fpr%2F1/open_clip_pytorch_model.bin
- Command line
-
hf download hf://microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224@refs/pr/1/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224/resolve/refs%2Fpr%2F1/open_clip_pytorch_model.bin
786 MB
- Xet hash:
- eddd7b9690bf2c796e95b76cd7b74c6c97fc9e29da03b0088e8428fa232e854d
- Size of remote file:
- 786 MB
- SHA256:
- 4bfe7750c7055523e01edadc68105d909e521cea35a0fb1d19c79e8f8e1b794c
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