Upload README.md

README.md

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+# LayoutLMv3 base model
+
+## Model description
+LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The simple unified architecture and training objectives make LayoutLMv3 a general-purpose pre-trained model. For example, LayoutLMv3 can be fine-tuned for both text-centric tasks, including form understanding, receipt understanding, and document visual question answering, and image-centric tasks such as document image classification and document layout analysis.
+
+For more details, please read the [paper](https://arxiv.org/abs/2204.08387) or view the [code](https://aka.ms/layoutlmv3).
+
+## Citation
+```
+@article{huang2022layoutlmv3,
+  title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
+  author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
+  journal={arXiv preprint arXiv:2204.08387},
+  year={2022}
+}
+```