microsoft/codereviewer

Model

CodeReviewer

143

11 commits

2 linked in READMEs

updated Jan 24, 2023

See the code

README

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}
}
code
endpoints_compatible
pytorch
t5
text2text-generation
text-generation-inference
transformers

microsoft/codereviewer

Model

CodeReviewer

143

11 commits

2 linked in READMEs

updated Jan 24, 2023

See the code

README

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}
}
code
endpoints_compatible
pytorch
t5
text2text-generation
text-generation-inference
transformers