Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R3500 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-R3500 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R3500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46a8ecb3328539578e5ec6eaf4e73d65ea907e3fd99004ba7ae7421ec2c54e6a
- Size of remote file:
- 279 MB
- SHA256:
- 599b336473f2f5a2e9fa85734345cc04df4df8b0f2f9f83441345d61762e9860
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