Markuplm Base Finetuned Websrc

🚀 MarkupLM, fine-tuned on WebSRC

Multimodal (text + markup language) pre-training for Document AI, aiming to solve visually-rich document understanding and information extraction tasks.

🚀 Quick Start

The model is fine-tuned on WebSRC. For usage details, please refer to the sections below.

✨ Features

• Multimodal Pre - training: MarkupLM is a simple yet effective multi-modal pre-training method that combines text and markup language. It is designed for visually-rich document understanding and information extraction tasks, such as webpage QA and webpage information extraction.
• SOTA Performance: It achieves state - of - the - art results on multiple datasets.

📚 Documentation

Introduction

MarkupLM is a simple but effective multi-modal pre-training method of text and markup language for visually-rich document understanding and information extraction tasks, such as webpage QA and webpage information extraction. MarkupLM archives the SOTA results on multiple datasets. For more details, please refer to our paper:

MarkupLM: Pre-training of Text and Markup Language for Visually-rich Document Understanding Junlong Li, Yiheng Xu, Lei Cui, Furu Wei

Usage

We refer to the docs and demo notebooks.