pytorch mbart seq2seq en ar cs de et fi fr gu hi it ja kk ko lt lv my ne nl ro ru si tr vi zh multilingual transformers translation text2text-generation
.gitattributes README.md config.json pytorch_model.bin sentence.bpe.model sentencepiece.bpe.model tokenizer.json
---
tags:
- translation

language:
- en
- ar
- cs
- de
- et
- fi
- fr
- gu
- hi
- it
- ja
- kk
- ko
- lt
- lv
- my
- ne
- nl
- ro 
- ru
- si
- tr
- vi
- zh
- multilingual

---
#### mbart-large-cc25

Pretrained (not finetuned) multilingual mbart model.
Original Languages
```
export langs=ar_AR,cs_CZ,de_DE,en_XX,es_XX,et_EE,fi_FI,fr_XX,gu_IN,hi_IN,it_IT,ja_XX,kk_KZ,ko_KR,lt_LT,lv_LV,my_MM,ne_NP,nl_XX,ro_RO,ru_RU,si_LK,tr_TR,vi_VN,zh_CN
```

Original Code: https://github.com/pytorch/fairseq/tree/master/examples/mbart
Docs:  https://huggingface.co/transformers/master/model_doc/mbart.html
Finetuning Code: examples/seq2seq/finetune.py (as of Aug 20, 2020)

Can also be finetuned for summarization.