Instructions to use yasserrmd/med-reason-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasserrmd/med-reason-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yasserrmd/med-reason-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from yasserrmd/med-reason-lora: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/yasserrmd/med-reason-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://yasserrmd/med-reason-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/yasserrmd/med-reason-lora/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- e5aecede0bdb817aeb3e64914b95dbf56bd670da6f4b9c3285aa97b27a6a120f
- Size of remote file:
- 17.1 MB
- SHA256:
- 158915c7c928301e0d32f1da363e45c294d907bd4c64a8e855f0bd1a47b9e870
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