Instructions to use HanningZhang/MathReward-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanningZhang/MathReward-2b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HanningZhang/MathReward-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dfcce22131ecfc4273f1223bfc036f83c7d29def3f6bcc60c26f75ae6a979cb
- Size of remote file:
- 689 Bytes
- SHA256:
- bf62b77c72a2cbfdf18b459e90a72ebacb61554caaa8a110c84b987a66068897
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