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Pretrained model used: mT5-base
Prefix: "trans: "
Limitations
max_source_length = 256
max_target_length = 256
Citation
If you use this model, please cite the following paper:
@inproceedings {laki-ocr,
title = {OCR hibák javítása neurális technológiák segítségével},
booktitle = {XVIII. Magyar Számítógépes Nyelvészeti Konferencia},
year = {2022},
publisher = {Szegedi Tudományegyetem, Informatikai Intézet},
address = {Szeged, Magyarország},
author = {Laki, László and and Kőrös, Ádám and Ligeti-Nagy, Noémi and and Nyéki, Bence and Vadász, Noémi and Yang, Zijian Győző and Váradi Tamás},
pages = {417--430}
}
Runs of NYTK ocr-cleaning-mt5-base-hungarian on huggingface.co
14
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
5
30-day runs
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