Instructions to use jhliu/ClinicalNoteBERT-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhliu/ClinicalNoteBERT-tiny with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jhliu/ClinicalNoteBERT-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jhliu/ClinicalNoteBERT-tiny: direct link, hf CLI and curl.
- Browser
- Download file 59.5 MB
-
https://huggingface.co/jhliu/ClinicalNoteBERT-tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jhliu/ClinicalNoteBERT-tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jhliu/ClinicalNoteBERT-tiny/resolve/main/pytorch_model.bin
59.5 MB
- Xet hash:
- a6de30c45790b5658f3dc51f49d963d61151be069c6a93824399061a5b18e2c9
- Size of remote file:
- 59.5 MB
- SHA256:
- 908a7a87301eaf4cf8f014a4ecb8b50566ff6c5a121e1b344e5af84a21a81859
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