Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R4000 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-R4000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R4000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b23467b98374bbae21effec9806a813e105fa4a67a7238b731c134ec7370547c
- Size of remote file:
- 279 MB
- SHA256:
- 2cce4e0c7fc0262347c8e92f33cb843de8d3d21825075b8f09ecd19d4d85b200
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