Instructions to use microsoft/BiomedVLP-BioViL-T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedVLP-BioViL-T with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/BiomedVLP-BioViL-T", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/BiomedVLP-BioViL-T", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b0dcfb5e5320ac2539da4bac9c443210b9d67fa3b4e2ce913e7215347e9488
- Size of remote file:
- 441 MB
- SHA256:
- 6d86a8d760eaa09c9a55d57cc6f6bb01b0cbccb8b827fc775a79f37a8fbda76c
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