Instructions to use jonas-mo/sft_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonas-mo/sft_output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonas-mo/sft_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jonas-mo/sft_output: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/jonas-mo/sft_output/resolve/main/training_args.bin
- Command line
-
hf download hf://jonas-mo/sft_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jonas-mo/sft_output/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 3c7b306527bf0c141c194868e5a4b9d5730e10d07e3b73db8140d029ecee1c8c
- Size of remote file:
- 5.71 kB
- SHA256:
- 86d3d2d6a0a3a641e7243bec871ed9214929b3efddd934f71f6f26b1bc977f37
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