Instructions to use t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R5500 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-R5500 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t2ance/CodeRM-OnlineGRPO-Selection-1.7B-Instance-Net-R5500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eef9b216e9df2e212a23baa04aab22ec21adb622082edd7ea0499e152a553b7d
- Size of remote file:
- 279 MB
- SHA256:
- ac14012626cb37c6888adcbbf6fbbf961c84886d6694146680c0972e22e7c659
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