Instructions to use kinit/equational-reasoning-sft-rl-loop-theory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kinit/equational-reasoning-sft-rl-loop-theory with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kinit/equational-reasoning-sft-rl-loop-theory", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f92797b50d73cc290ad5fb44f0d4f423bf41260adac0ab1e0b2e342f8129998c
- Size of remote file:
- 11.4 MB
- SHA256:
- 9aa803b36beaf43c54f4b2ab0635fdf86bf07f13221b4ec71ad1f67867394f40
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