Instructions to use kaushalya/medclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaushalya/medclip with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("kaushalya/medclip", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from kaushalya/medclip: direct link, hf CLI and curl.
- Browser
- Download file 793 MB
-
https://huggingface.co/kaushalya/medclip/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://kaushalya/medclip/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/kaushalya/medclip/resolve/main/flax_model.msgpack
793 MB
- Xet hash:
- 85e50eb8dd8e40cabc2d907b0206d61451eb00f68172b694292cd0e4c0591d25
- Size of remote file:
- 793 MB
- SHA256:
- 6812b99dec1ef3b2744361ce2db289986918d54d8394274abf7c8e30d5fbcaa7
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