Instructions to use AndyJ/clinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyJ/clinicalBERT with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AndyJ/clinicalBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AndyJ/clinicalBERT: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/AndyJ/clinicalBERT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AndyJ/clinicalBERT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AndyJ/clinicalBERT/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- e3d4485951f21063aed5483d1694afe5c8dbf306e39da4f62e40e5afd0834bd4
- Size of remote file:
- 438 MB
- SHA256:
- 8cd89e559aa2a4661259379af59503094ff7348c4e0e70cd25297c2912c7e822
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