CodeReviewer

Model description

CodeReviewer is a model pre-trained with code change and code review data to support code review tasks. CodeReviewer: Pre-Training for Automating Code Review Activities. Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan.
GitHub

Citation

If you user CodeReviewer, please consider citing the following paper:

@article{li2022codereviewer,
  title={CodeReviewer: Pre-Training for Automating Code Review Activities},
  author={Li, Zhiyu and Lu, Shuai and Guo, Daya and Duan, Nan and Jannu, Shailesh and Jenks, Grant and Majumder, Deep and Green, Jared and Svyatkovskiy, Alexey and Fu, Shengyu and others},
  journal={arXiv preprint arXiv:2203.09095},
  year={2022}
}

microsoft/codereviewer is a pre-trained language model available on the Hugging Face Hub. It's specifically designed for the text2text-generation task in the transformers library. If you want to learn more about the model's architecture, hyperparameters, limitations, and biases, you can find this information on the model's dedicated Model Card on the Hugging Face Hub .

Model Specifications

LicenseApache-2.0

Last UpdatedJuly 2025

ProviderHuggingFace

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