Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R2500 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-R2500 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R2500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae884320762d59eb66fca97746cfd1eb58831858a5b52983abf7410d78dd230
- Size of remote file:
- 279 MB
- SHA256:
- 9bdf7d0f2f291cbec6303be5db982ef7afb96b66eec717a6033b000478cab325
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