Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R6000 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-R6000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R6000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 103e3da8605ece33e8aa5a8b3acc837bcb1d90411aa9792dc5307589fd0262cc
- Size of remote file:
- 279 MB
- SHA256:
- cefbe228f00cf54ae1852031eb7a18cb3762541d6880d601850f984c7c5bc93a
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