Instructions to use junnyu/eHealth_pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junnyu/eHealth_pytorch with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("junnyu/eHealth_pytorch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from junnyu/eHealth_pytorch: direct link, hf CLI and curl.
- Browser
- Download file 411 MB
-
https://huggingface.co/junnyu/eHealth_pytorch/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://junnyu/eHealth_pytorch/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/junnyu/eHealth_pytorch/resolve/main/pytorch_model.bin
411 MB
- Xet hash:
- 0171a85175106d21965a6d99d4e435cc909ede6145c50fbe6eeeba1a46d8cacf
- Size of remote file:
- 411 MB
- SHA256:
- ea28aab2638c8aeffa6cdb261d57ed41d6f96dc45ec3a1c21bf3bb1e12d40429
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