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:
- 339cf4f950f2c13dc2686e03d16a8d240e85c88ddf87efec0bae9ff38d5b3059
- Size of remote file:
- 16.1 GB
- SHA256:
- 19470660affa248fe96bf096b113de0089662d6f58c0689aa6819a700d2e569e
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