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VieTable-donut-docvqa-demo
YuukiAsuna/VieTable-donut-docvqa-demo
VieTable-donut-docvqa-demo is a document question answering model from YuukiAsuna. Use it for the document question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
VieTable Donut DocVQA is a fine-tuned version of the Donut model for the Vietnamese DocVQA (Table data)
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.safetensors814 MB · 99%
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From the Hugging Face model README
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<!-- Provide a quick summary of what the model is/does. -->VieTable Donut DocVQA is a fine-tuned version of the Donut model for the Vietnamese DocVQA (Table data)
BibTeX entry and citation info
@article{DBLP:journals/corr/abs-2111-15664,
author = {Geewook Kim and
Teakgyu Hong and
Moonbin Yim and
Jinyoung Park and
Jinyeong Yim and
Wonseok Hwang and
Sangdoo Yun and
Dongyoon Han and
Seunghyun Park},
title = {Donut: Document Understanding Transformer without {OCR}},
journal = {CoRR},
volume = {abs/2111.15664},
year = {2021},
url = {https://arxiv.org/abs/2111.15664},
eprinttype = {arXiv},
eprint = {2111.15664},
timestamp = {Thu, 02 Dec 2021 10:50:44 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2111-15664.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
- Task
- Document Question Answering
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Languages
- vi
- Created
- Oct 23, 2024
- Updated
- Oct 31, 2024