metadata

language:
  - multilingual
  - ha
  - is
  - ja
  - cs
  - ru
  - zh
  - de
  - en
license: mit
tags:
  - translation
  - wmt21

WMT 21 X-En

WMT 21 X-En is a 4.7B multilingual encoder-decoder (seq-to-seq) model trained for one-to-many multilingual translation. It was introduced in this paper and first released in this repository.

The model can directly translate text from 7 languages: Hausa (ha), Icelandic (is), Japanese (ja), Czech (cs), Russian (ru), Chinese (zh), German (de) to English.

To translate into a target language, the target language id is forced as the first generated token. To force the target language id as the first generated token, pass the forced_bos_token_id parameter to the generate method.

Note: M2M100Tokenizer depends on sentencepiece, so make sure to install it before running the example. To install sentencepiece run pip install sentencepiece

Since the model was trained with domain tags, you should prepend them to the input as well.

"wmtdata newsdomain": Use for sentences in the news domain
"wmtdata otherdomain": Use for sentences in all other domain

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model = AutoModelForSeq2SeqLM.from_pretrained("facebook/wmt21-dense-24-wide-x-en")
tokenizer = AutoTokenizer.from_pretrained("facebook/wmt21-dense-24-wide-x-en")

# translate German to English
tokenizer.src_lang = "de"
inputs = tokenizer("wmtdata newsdomain Ein Modell für viele Sprachen", return_tensors="pt")
generated_tokens = model.generate(**inputs)
tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
# => "A model for many languages"

# translate Icelandic to English
tokenizer.src_lang = "is"
inputs = tokenizer("wmtdata newsdomain Ein fyrirmynd fyrir mörg tungumál", return_tensors="pt")
generated_tokens = model.generate(**inputs)
tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
# => "One model for many languages"

See the model hub to look for more fine-tuned versions.

Languages covered

English (en), Hausa (ha), Icelandic (is), Japanese (ja), Czech (cs), Russian (ru), Chinese (zh), German (de)

BibTeX entry and citation info

@inproceedings{tran2021facebook
  title={Facebook AI’s WMT21 News Translation Task Submission},
  author={Chau Tran and Shruti Bhosale and James Cross and Philipp Koehn and Sergey Edunov and Angela Fan},
  booktitle={Proc. of WMT},
  year={2021},
}