| # 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]`). | |