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 data/valid_dataset.json from kaushalya/medclip: direct link, hf CLI and curl.
- Browser
- Download file 1.83 MB
-
https://huggingface.co/kaushalya/medclip/resolve/main/data/valid_dataset.json
- Command line
-
hf download hf://kaushalya/medclip/data/valid_dataset.json
-
curl -L -o valid_dataset.json https://huggingface.co/kaushalya/medclip/resolve/main/data/valid_dataset.json
1.83 MB
- Xet hash:
- 905913ee95c36038c871a35e5419069a877110b245b71471614aef5ce8d893ea
- Size of remote file:
- 1.83 MB
- SHA256:
- 5de7c2611565819c960f93f007a0015355686fc0c76ab496729474981c441a3d
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