Skip to content

thinh-huynh-re/document-ai-transformers

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Document AI with Hugging Face Transformers

Document AI s a term that has become popular over the last 3 years. It defines machine learning models, tasks, and techniques to classify, parse, and extract information from documents in digital and print forms, like invoices, receipts, licenses, contracts, and business reports.

logo

This repository contains different example and tutorials on how to get started with Document AI and Transformers. Below you can also find a compendium of available models, tasks, datasets and other resources.

Training

Inference

Data-processing

Demos/Spaces

Community:

popular models are layoutlm.... and Donut which we will use today get a first impression of how you can build you own document AI System using Hugging Face Transformers.

Machine Learning Models (Transformers)

Below you can find a table of the currently available Transformers models, who are achieving state-of-the-art performance on Document AI tasks.

model paper license checkpoints
Donut arxiv MIT huggingface
LiLT arxiv MIT huggingface
LayoutLM arxiv MIT huggingface
LMLayoutXLM arxiv CC BY-NC-SA 4.0 huggingface
LayoutLMv2 arxiv CC BY-NC-SA 4.0 huggingface
LayoutLMv3 arxiv CC BY-NC-SA 4.0 huggingface
DiT arxiv CC BY-NC-SA 4.0 huggingface
TrOCR arxiv MIT huggingface

Tasks

Document AI includes the following use cases and tasks:

  • document classification (image-classification)
  • document parsing (form understanding & information extraction)
  • visual question answering
  • table detection/layout analysis
  • optical character recognition (OCR)

Datasets

Dataset Task Hugging Face Datasets
SROIE document parsing darentang/sroie
RVL-CDIP document classification rvl_cdip
XFUND document parsing ranpox/xfund
FUNSD document parsing nielsr/funsd
CORD information extraction/parsing naver-cola-ix/cord-v2
DocVQA visual question answering load manually
WildReceipt document parsing Theivaprakasham/wildreceipt
TableBank table detection/layout analysis load manually
DocBank table detection/layout analysis load manually
ReadingBank table detection/layout analysis load manually
EATEN document parsing load manually
PubLayNet table detection/layout analysis jordanparker6/publaynet
ICDAR2019_cTDaR table detection/layout analysis load manually

APIs and existing Solutuions

Other Tools

Resources

OCR-Free Document Understanding with Donut

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%