Instructions to use IoakeimE/dpo_simplification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IoakeimE/dpo_simplification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IoakeimE/dpo_simplification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from IoakeimE/dpo_simplification: direct link, hf CLI and curl.
- Browser
- Download file 7.06 kB
-
https://huggingface.co/IoakeimE/dpo_simplification/resolve/main/training_args.bin
- Command line
-
hf download hf://IoakeimE/dpo_simplification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/IoakeimE/dpo_simplification/resolve/main/training_args.bin
7.06 kB
- Xet hash:
- f3eed504f81f9ef5c1aac5e10579e0367ab9b78bb6ea2e99eb1174cb45a421e5
- Size of remote file:
- 7.06 kB
- SHA256:
- 7f4bdac65da67d2d571ea65603d6adfafaeff6c208bebfaee787b1ca56343b7d
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