Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R1000 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-R1000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49920db7617053238b43bcd7ae0c3ab2f0fe5b7d9dc5ec579fe0e2befac73334
- Size of remote file:
- 279 MB
- SHA256:
- 6c1784ce7bb701a87ae4c3e12503859797cb73c95e71e8b49af6dcec5b9950bf
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