Multimodal (text + layout/format + image) fine-tuning toolkit for document understanding

Popular Language Models: BERT, UniLM(v2), RoBERTa, InfoXLM

LayoutLM Family: LayoutLM, LayoutLMv2, LayoutXLM

conda create -n layoutlmft python=3.7
conda activate layoutlmft
git clone https://github.com/microsoft/unilm.git
cd unilm
cd layoutlmft
pip install -r requirements.txt
pip install -e .

The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Portions of the source code are based on the transformers project. Microsoft Open Source Code of Conduct

For help or issues using layoutlmft, please submit a GitHub issue.

For other communications related to layoutlmft, please contact Lei Cui ([email protected]), Furu Wei ([email protected]).