Instructions to use mjf-su/GRPO-nADEReward-Format-Prompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjf-su/GRPO-nADEReward-Format-Prompt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mjf-su/GRPO-nADEReward-Format-Prompt", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ecffd35695d3419242854cd29100ea485da908a3892d94c58dd4d6ed732f9c5
- Size of remote file:
- 11.4 MB
- SHA256:
- d4794a5dd9265a5fb142162b0a43ab5537f561c6a55f23a54c81e4f21b09da41
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