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("image-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:
- fc9fd6521972d98d9d26effd4bd3e3ca18bdd40acff589232552eff75426e6af
- Size of remote file:
- 110 MB
- SHA256:
- b2399d73dc2a68b9f3a1950e864ae0ecd24093fb07aa459d7e65807ebdc0fb77
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