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Update license and citation. (#4)

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- Update license and citation. (34ad996fcbb1e8172a2409d8d7f0f88a4602869e)


Co-authored-by: Yupan Huang <[email protected]>

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  1. README.md +5 -5
README.md CHANGED
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  ---
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  language: en
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- license: apache-2.0
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  ---
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  # LayoutLMv3
@@ -19,16 +19,16 @@ Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, Furu Wei, Preprint 2022.
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  If you find LayoutLM useful in your research, please cite the following paper:
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  ```
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- @article{huang2022layoutlmv3,
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- title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
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  author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
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- journal={arXiv preprint arXiv:2204.08387},
 
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  year={2022}
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  }
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  ```
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  ## License
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- The content of this project itself is licensed under the [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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  Portions of the source code are based on the [transformers](https://github.com/huggingface/transformers) project.
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  [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct)
 
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  language: en
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+ license: mit
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  ---
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  # LayoutLMv3
 
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  If you find LayoutLM useful in your research, please cite the following paper:
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  ```
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+ @inproceedings{huang2022layoutlmv3,
 
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  author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
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+ title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
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+ booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
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  year={2022}
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  }
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  ```
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  ## License
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+ MIT License.
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  Portions of the source code are based on the [transformers](https://github.com/huggingface/transformers) project.
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  [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct)