Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R4500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R4500 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R4500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3879fbee5c2fdc79d1c724b42617a94f7b0c5bbc161778801d33921de9f1a68
- Size of remote file:
- 279 MB
- SHA256:
- ed73f1ee644709c3d21470a5c0f9dad502ab91943531c99d4bedea840a331d4c
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