Instructions to use jhliu/ClinicalNoteBERT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhliu/ClinicalNoteBERT-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jhliu/ClinicalNoteBERT-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jhliu/ClinicalNoteBERT-small: direct link, hf CLI and curl.
- Browser
- Download file 273 MB
-
https://huggingface.co/jhliu/ClinicalNoteBERT-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jhliu/ClinicalNoteBERT-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jhliu/ClinicalNoteBERT-small/resolve/main/pytorch_model.bin
273 MB
- Xet hash:
- 7b9479d3e374e73d47ef9405d7d99924ad65279ccb70adaa58843806824d3b97
- Size of remote file:
- 273 MB
- SHA256:
- 592355208814fede7fd404ffeb223cbe3d11aa615a2fc3e016edbea6d2ca5980
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