Instructions to use VikramR/cypherbench-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VikramR/cypherbench-grpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VikramR/cypherbench-grpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a0389c02e5729ee504675500ab3447c8630fc09d84ee74d69a3f5ff8d74bb76
- Size of remote file:
- 7.12 kB
- SHA256:
- 940883beabc9ec6c10a1e08837cbd55367be0cbd39595706ad4f7c3ecda2ab22
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