|
--- |
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language: |
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- en |
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- vi |
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license: bsl-1.0 |
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datasets: |
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- neuralwork/arxiver |
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metrics: |
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- accuracy |
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base_model: |
|
- Freepik/flux.1-lite-8B-alpha |
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new_version: microsoft/OmniParser |
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pipeline_tag: translation |
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library_name: allennlp |
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tags: |
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- finance |
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- legal |
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- text-generation-inference |
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--- |
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# CodeReviewer |
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|
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## Model description |
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|
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CodeReviewer is a model pre-trained with code change and code review data to support code review tasks. |
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|
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[CodeReviewer: Pre-Training for Automating Code Review Activities.](https://arxiv.org/abs/2203.09095) Zhiyu Li, Shuai Lu, Daya Guo, Nan Duan, Shailesh Jannu, Grant Jenks, Deep Majumder, Jared Green, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan. |
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[GitHub](https://github.com/microsoft/CodeBERT/tree/master/CodeReviewer) |
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## Citation |
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If you user CodeReviewer, please consider citing the following paper: |
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|
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``` |
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@article{li2024codereviewer, |
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title={CodeReviewer: Pre-Training for Automating Code Review Activities}, |
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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}, |
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journal={arXiv preprint arXiv:2203.09095}, |
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year={2024} |
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} |
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``` |
