Instructions to use rosadecsai/grpo_math_errors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rosadecsai/grpo_math_errors with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rosadecsai/grpo_math_errors", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rosadecsai/grpo_math_errors: direct link, hf CLI and curl.
- Browser
- Download file 7.57 kB
-
https://huggingface.co/rosadecsai/grpo_math_errors/resolve/main/training_args.bin
- Command line
-
hf download hf://rosadecsai/grpo_math_errors/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rosadecsai/grpo_math_errors/resolve/main/training_args.bin
7.57 kB
- Xet hash:
- d35bfc64b4c6c611288d86ca9db11123a51ef8f42ffdc9fdec6268721bfd783d
- Size of remote file:
- 7.57 kB
- SHA256:
- 42f2e19ff365a5b8829da841b7844cfc6e58ff6cbd31a29770c575988de8ca0b
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