Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R6500 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-R6500 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R6500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0522dcb51b95f1a6b2423b7ccc0aa883ad58fbf69f727f0175eb576b7e640a72
- Size of remote file:
- 279 MB
- SHA256:
- 3508357f0c52120bb63a3f853edcb4850cb21c0a1f3ecee27c5e177b93e73dfe
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