Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-8B-Domain-SFT-K8s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use t2ance/CodeRM-OnlineGRPO-Selection-8B-Domain-SFT-K8s with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-8B-Domain-SFT-K8s", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6bef9c685f633ad82e56c42d77fc71e548784d0ebd7b60db8bcc1eda4408795
- Size of remote file:
- 698 MB
- SHA256:
- abe484c4424d062e29d3f310216b4699576eccdc03a5834b185b3de20ac71518
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