Instructions to use IoakeimE/sft_normal_simplification_mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IoakeimE/sft_normal_simplification_mini with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IoakeimE/sft_normal_simplification_mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from IoakeimE/sft_normal_simplification_mini: direct link, hf CLI and curl.
- Browser
- Download file 6.35 kB
-
https://huggingface.co/IoakeimE/sft_normal_simplification_mini/resolve/main/training_args.bin
- Command line
-
hf download hf://IoakeimE/sft_normal_simplification_mini/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IoakeimE/sft_normal_simplification_mini/resolve/main/training_args.bin
6.35 kB
- Xet hash:
- 996e53b234e577ad629e6f7d3c98b5c215ebe447693f6206be07a37f6917b992
- Size of remote file:
- 6.35 kB
- SHA256:
- dd9f180dd3b7806d68f7fb492ae4ad60f94a9ae8179eefb0c3aab85d229d445d
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