
# Hungarian-centered 12-lingual finetuned M2M100_1.2B model

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

- Source language: Bulgarian (bg), Czech (cs), German (de), English (en), Croatian (hr), Polish, (pl), Romanian (ro), Russian (ru), Slovak (sk), Slovene (sl), Serbian (sr), Ukrainian (uk) 
- Target language: Hungarian (hu)

- Finetuned on subcorpora from OPUS
	- Segments: 3 million per language

## Limitations

- max_source_length: 256
- max_target_length: 256


## Citation
If you use this model, please cite the following paper:
```
@article{laki-yang-12lang,
    title = {Solving Hungarian natural language processing tasks with multilingual generative models},
	journal = {Annales Mathematicae et Informaticae},
	year = {2023},
	author = {Yang, Zijian Győző and Laki László János},
    volume = {57},
	pages = {92–-106},
    doi = {10.33039/ami.2022.11.001}
}

```
{"language": ["hu", "bg", "cs", "de", "en", "hr", "pl", "ro", "ru", "sk", "sl", "sr", "uk"], "license": "mit", "tags": ["translation"], "metrics": ["sacrebleu", "chrf"], "widget": [{"text": "This may not make much sense to you, sir, but I'd like to ask your permission to date your daughter."}]}
transformers pytorch m2m_100 text2text-generation translation hu bg cs de en hr pl ro ru sk sl sr uk license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #translation #hu #bg #cs #de #en #hr #pl #ro #ru #sk #sl #sr #uk #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# Hungarian-centered 12-lingual finetuned M2M100_1.2B model

For further details, see or our demo site.

- Source language: Bulgarian (bg), Czech (cs), German (de), English (en), Croatian (hr), Polish, (pl), Romanian (ro), Russian (ru), Slovak (sk), Slovene (sl), Serbian (sr), Ukrainian (uk) 
- Target language: Hungarian (hu)

- Finetuned on subcorpora from OPUS
	- Segments: 3 million per language

## Limitations

- max_source_length: 256
- max_target_length: 256


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

# Hungarian-centered 12-lingual finetuned M2M100_1.2B model

For further details, see or our demo site.

- Source language: Bulgarian (bg), Czech (cs), German (de), English (en), Croatian (hr), Polish, (pl), Romanian (ro), Russian (ru), Slovak (sk), Slovene (sl), Serbian (sr), Ukrainian (uk) 
- Target language: Hungarian (hu)

- Finetuned on subcorpora from OPUS
	- Segments: 3 million per language ## Limitations

- max_source_length: 256
- max_target_length: 256


If you use this model, please cite the following paper:
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #translation #hu #bg #cs #de #en #hr #pl #ro #ru #sk #sl #sr #uk #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Hungarian-centered 12-lingual finetuned M2M100_1.2B model

For further details, see or our demo site.

- Source language: Bulgarian (bg), Czech (cs), German (de), English (en), Croatian (hr), Polish, (pl), Romanian (ro), Russian (ru), Slovak (sk), Slovene (sl), Serbian (sr), Ukrainian (uk) 
- Target language: Hungarian (hu)

- Finetuned on subcorpora from OPUS
	- Segments: 3 million per language ## Limitations

- max_source_length: 256
- max_target_length: 256


If you use this model, please cite the following paper:
TAGS
#transformers #pytorch #m2m_100 #text2text-generation #translation #hu #bg #cs #de #en #hr #pl #ro #ru #sk #sl #sr #uk #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Hungarian-centered 12-lingual finetuned M2M100_1.2B model

For further details, see or our demo site.

- Source language: Bulgarian (bg), Czech (cs), German (de), English (en), Croatian (hr), Polish, (pl), Romanian (ro), Russian (ru), Slovak (sk), Slovene (sl), Serbian (sr), Ukrainian (uk) 
- Target language: Hungarian (hu)

- Finetuned on subcorpora from OPUS
	- Segments: 3 million per language## Limitations

- max_source_length: 256
- max_target_length: 256


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