Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R1500 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-R1500 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R1500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c4e6347daa00a6f025ea97ce6e183687936362eb75d046235c9fe1ce195582c
- Size of remote file:
- 279 MB
- SHA256:
- 0b2d1c5f77a4724db1bbff593438337a259d31859e7242f878a67e51b02eac2d
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