
# mT5 OCR cleaning model

For further models, scripts and details, see or [our demo site](https://juniper.nytud.hu/demo/nlp).

- 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}
}

```
{"language": ["hu"], "license": "apache-2.0", "tags": ["OCR cleaning"], "widget": [{"text": "trans: B\u00e1lv\u00e1ndy szokott kedves modoraval mulattata Dorothea ;r\u00f3fn\u0151t."}]}
transformers pytorch mt5 text2text-generation OCR cleaning hu license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #OCR cleaning #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# mT5 OCR cleaning model

For further models, scripts and details, see or our demo site.

- Pretrained model used: mT5-base
- Prefix: "trans: "

## Limitations

- max_source_length = 256
- max_target_length = 256


If you use this model, please cite the following paper:


# mT5 OCR cleaning model

For further models, scripts and details, see or our demo site.

- Pretrained model used: mT5-base
- Prefix: "trans: " ## Limitations

- max_source_length = 256
- max_target_length = 256


If you use this model, please cite the following paper:
TAGS
#transformers #pytorch #mt5 #text2text-generation #OCR cleaning #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # mT5 OCR cleaning model

For further models, scripts and details, see or our demo site.

- Pretrained model used: mT5-base
- Prefix: "trans: " ## Limitations

- max_source_length = 256
- max_target_length = 256


If you use this model, please cite the following paper:
TAGS
#transformers #pytorch #mt5 #text2text-generation #OCR cleaning #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# mT5 OCR cleaning model

For further models, scripts and details, see or our demo site.

- Pretrained model used: mT5-base
- Prefix: "trans: "## Limitations

- max_source_length = 256
- max_target_length = 256


If you use this model, please cite the following paper: