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:
- 5b134eb20bb730d5732c9a673138773536e939080d367f4cf6bf1ce5b5734485
- Size of remote file:
- 132 Bytes
- SHA256:
- 6d80378882888934d5dd59baccf63133a01715a0a984a643e8e79b91df87b48f
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