| --- |
| language: code |
| license: apache-2.0 |
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|
| --- |
| # UniXcoder |
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| ## Model description |
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| UniXcoder is a unified cross-modal pre-trained model for programming languages to support both code-related understanding and generation tasks. The model can support six languages: java, ruby, python, php, javascript, and go. |
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| [UniXcoder: Unified Cross-Modal Pre-training for Code Representation.](https://arxiv.org/abs/2203.03850) Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin. |
| [GitHub](hhttps://github.com/microsoft/CodeBERT/tree/master/UniXcoder#unixcoder) |
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| ## Citation |
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| If you use UniXcoder, please consider citing the following paper: |
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| ``` |
| @article{guo2022unixcoder, |
| title={UniXcoder: Unified Cross-Modal Pre-training for Code Representation}, |
| author={Guo, Daya and Lu, Shuai and Duan, Nan and Wang, Yanlin and Zhou, Ming and Yin, Jian}, |
| journal={arXiv preprint arXiv:2203.03850}, |
| year={2022} |
| } |
| ``` |
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