Instructions to use StaAhmed/Distilll_med with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StaAhmed/Distilll_med with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StaAhmed/Distilll_med", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from StaAhmed/Distilll_med: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/StaAhmed/Distilll_med/resolve/main/tokenizer.json
- Command line
-
hf download hf://StaAhmed/Distilll_med/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/StaAhmed/Distilll_med/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- c234926be804d869d6a9ff9c50b90e6fc14a6253ba690dcf721df52cf72914de
- Size of remote file:
- 11.4 MB
- SHA256:
- 84af1908c954b8f3872623a6fdbe175459c4237661e49634de8b93986363e789
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