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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4f7b1f0f738d56788bcd68b1d3f2b318c82cf81a6cc96b12dc19e965d2fa816
- Size of remote file:
- 16.1 GB
- SHA256:
- 3b601f3dc44bd264d4f45c0cdfbb65ca425b6efa08b3837dd481fb6892fc43b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.