Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R7000 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-R7000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R7000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f8522c31e7c423aa2907e9e932c5d907e8c60caf5cd8cf3b1d1f014780b92a8
- Size of remote file:
- 279 MB
- SHA256:
- 7f90efbead30416a02c72a13c5af4d2289b597fa71eea13749835a629ac2f275
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