Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-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-Net-R3000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R3000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a13f5908fe2b270cde8f3be969145ae334d7d0e4cdcb616cb660bbce8ea288c
- Size of remote file:
- 279 MB
- SHA256:
- 774077f5b75e79ac9ee660edbe7cb55623d96a894519e86b5cfa4c46de1a52b2
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