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  TITLE
  LayoutLMv2 Model
  
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  # 🌟 New model addition
  
  ## Model description
  
  LayoutLMv2 by pre-training text, layout and image in a multi-modal framework, where new model architectures and pre-training tasks are leveraged. Specifically, LayoutLMv2 not only uses the existing masked visual-language modeling task but also the new text-image alignment and text-image matching tasks in the pre-training stage, where cross-modality interaction is better learned.
  
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  ## Open source status
  
  * [ ] the model implementation is available: (give details) https://github.com/microsoft/unilm/tree/master/layoutlmv2
  * [ ] the model weights are available: (give details) https://huggingface.co/microsoft/layoutlmv2-base-uncased/
  * [ ] who are the authors: (mention them, if possible by @gh-username) 
  @inproceedings{Xu2020LayoutLMv2MP,
    title     = {LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding},
    author    = {Yang Xu and Yiheng Xu and Tengchao Lv and Lei Cui and Furu Wei and Guoxin Wang and Yijuan Lu and Dinei Florencio and Cha Zhang and Wanxiang Che and Min Zhang and Lidong Zhou},
    booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) 2021},
    year      = {2021},
    month     = {August},
  }
  