Instructions to use toolevalxm/MedAssist-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedAssist-TestRepo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("toolevalxm/MedAssist-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from toolevalxm/MedAssist-TestRepo: direct link, hf CLI and curl.
- Browser
- Download file 22 Bytes
-
https://huggingface.co/toolevalxm/MedAssist-TestRepo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://toolevalxm/MedAssist-TestRepo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/toolevalxm/MedAssist-TestRepo/resolve/main/pytorch_model.bin
22 Bytes
- Xet hash:
- 31884280d65a21d6da7d1193c0d53c8cde7f25629d14b0aff340593b96e02c1c
- Size of remote file:
- 22 Bytes
- SHA256:
- d0c0d3bb8279a65d7a150ac59cfbbb25a389ef85a219484fde5c68349b2895dd
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