Instructions to use eth-dl-rewards/internlm2-7b-reward-math-100k-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eth-dl-rewards/internlm2-7b-reward-math-100k-scratch with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eth-dl-rewards/internlm2-7b-reward-math-100k-scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04a7db302c9daca1d15e76f173d25414a5586fbf5972de0db58dd4db64889649
- Size of remote file:
- 10.5 MB
- SHA256:
- 0c25147d322f48f28b52ef87aa2c9c34e2d485222e0ea465845e68c57390990f
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