Instructions to use surya47/medclip-roco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surya47/medclip-roco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="surya47/medclip-roco")# Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("surya47/medclip-roco", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74b5bfaebc57f83c6b701d12ec3525ce73ed31fba3af2a37dce24637e4f8cbee
- Size of remote file:
- 793 MB
- SHA256:
- 1effd5bcec2e8a8432ed2e0050add2bbb27bcb5dbef1a480d817b5c9559ea252
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