LayoutLM Multimodal (text + layout/format + image) pre training for document AI Microsoft Document AI GitHub Model description LayoutLM is a simple but effective pre training method of text and layout for document image understanding and information extraction tasks, such as form understanding and receipt understanding. LayoutLM archives the SOTA results on multiple datasets. For more details, please refer to our paper: LayoutLM: Pre training of Text and Layout for Document Image Understanding Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, KDD 2020 Different Tokenizer Note that LayoutLM Cased requires a different tokenizer, based on RobertaTokenizer. You can initialize it as follows: ~~~ from transformers import AutoTokenizer tokenizer = AutoTokenizer.from pretrained('microsoft/layoutlm base cased') ~~~ Citation If you find LayoutLM useful in your research, please cite the following paper:
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