Instructions to use IoakeimE/sft_best_simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IoakeimE/sft_best_simplification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IoakeimE/sft_best_simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from IoakeimE/sft_best_simplification: direct link, hf CLI and curl.
- Browser
- Download file 6.35 kB
-
https://huggingface.co/IoakeimE/sft_best_simplification/resolve/main/training_args.bin
- Command line
-
hf download hf://IoakeimE/sft_best_simplification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IoakeimE/sft_best_simplification/resolve/main/training_args.bin
6.35 kB
- Xet hash:
- 39c769aedc371eaad9c23fecc1fee87c47205f80254a8821d9d052acc15858c4
- Size of remote file:
- 6.35 kB
- SHA256:
- 728720adce4a059df15b2523efec96366c54f9461193f2cca2b1c04ee6c7c384
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