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:
- 67aad5a1f63979dd2b10969750793c8e94f150147114745a843983b14f4c4d03
- Size of remote file:
- 6.33 kB
- SHA256:
- 4e022321efb34c7083f1e46517a9cf3b7d4ccfb88a8ff99ca9c5838d2f07e4f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.