Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R5000 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-R5000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R5000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e82952992a6a617f6e14a6e5d154116df1244a50bbb68faeb1c209ac89cfecb
- Size of remote file:
- 279 MB
- SHA256:
- 9040e88aecfde621926dad87a29318f75ea0080ada25e5ab8c0553985ecba2bb
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