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# layoutlmft | |
**Multimodal (text + layout/format + image) fine-tuning toolkit for document understanding** | |
## Introduction | |
## Supported Models | |
Popular Language Models: BERT, UniLM(v2), RoBERTa, InfoXLM | |
LayoutLM Family: LayoutLM, LayoutLMv2, LayoutXLM | |
## Installation | |
~~~bash | |
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 . | |
~~~ | |
## License | |
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/) | |
Portions of the source code are based on the [transformers](https://github.com/huggingface/transformers) project. | |
[Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct) | |
### Contact Information | |
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]`). | |