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:
- 147c455e7d294213b48205bf74618592cacb22ebe9dca5929a473962c4fecae6
- Size of remote file:
- 441 MB
- SHA256:
- 70bed344872e0a4f4dca2352564c44f44cb7a9cfcac3d878be2dd08a5fff9aba
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