Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Table-R3000 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-Table-R3000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Table-R3000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d13da3a392e7e316f875ea9d2ba897e1b13b060754284eb96a3ca814c1e34ece
- Size of remote file:
- 279 MB
- SHA256:
- b86f5223270d02004640c3d3b9a68cc077a3efc91fb76a9ede3181c3e0b385cb
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