This page provides pointers to the models of Facebook-FAIR's WMT'19 news translation task submission (Ng et al., 2019).
Model | Description | Download |
---|---|---|
transformer.wmt19.en-de |
En->De Ensemble | download (.tar.gz) |
transformer.wmt19.de-en |
De->En Ensemble | download (.tar.gz) |
transformer.wmt19.en-ru |
En->Ru Ensemble | download (.tar.gz) |
transformer.wmt19.ru-en |
Ru->En Ensemble | download (.tar.gz) |
transformer_lm.wmt19.en |
En Language Model | download (.tar.gz) |
transformer_lm.wmt19.de |
De Language Model | download (.tar.gz) |
transformer_lm.wmt19.ru |
Ru Language Model | download (.tar.gz) |
import torch
# English to German translation
en2de = torch.hub.load('pytorch/fairseq', 'transformer.wmt19.en-de', checkpoint_file='model1.pt:model2.pt:model3.pt:model4.pt',
tokenizer='moses', bpe='fastbpe')
en2de.translate("Machine learning is great!") # 'Maschinelles Lernen ist großartig!'
# German to English translation
de2en = torch.hub.load('pytorch/fairseq', 'transformer.wmt19.de-en', checkpoint_file='model1.pt:model2.pt:model3.pt:model4.pt',
tokenizer='moses', bpe='fastbpe')
de2en.translate("Maschinelles Lernen ist großartig!") # 'Machine learning is great!'
# English to Russian translation
en2ru = torch.hub.load('pytorch/fairseq', 'transformer.wmt19.en-ru', checkpoint_file='model1.pt:model2.pt:model3.pt:model4.pt',
tokenizer='moses', bpe='fastbpe')
en2ru.translate("Machine learning is great!") # 'Машинное обучение - это здорово!'
# Russian to English translation
ru2en = torch.hub.load('pytorch/fairseq', 'transformer.wmt19.ru-en', checkpoint_file='model1.pt:model2.pt:model3.pt:model4.pt',
tokenizer='moses', bpe='fastbpe')
ru2en.translate("Машинное обучение - это здорово!") # 'Machine learning is great!'
# Sample from the English LM
en_lm = torch.hub.load('pytorch.fairseq', 'transformer_lm.wmt19.en', tokenizer='moses', bpe='fastbpe')
en_lm.sample("Machine learning is") # 'Machine learning is the future of computing, says Microsoft boss Satya Nadella ...'
# Sample from the German LM
de_lm = torch.hub.load('pytorch.fairseq', 'transformer_lm.wmt19.de', tokenizer='moses', bpe='fastbpe')
de_lm.sample("Maschinelles lernen ist") # 'Maschinelles lernen ist das A und O (neues-deutschland.de) Die Arbeitsbedingungen für Lehrerinnen und Lehrer sind seit Jahren verbesserungswürdig ...'
# Sample from the Russian LM
ru_lm = torch.hub.load('pytorch.fairseq', 'transformer_lm.wmt19.ru', tokenizer='moses', bpe='fastbpe')
ru_lm.sample("машинное обучение это") # 'машинное обучение это то, что мы называем "искусственным интеллектом".'
@inproceedings{ng2019facebook},
title = {Facebook FAIR's WMT19 News Translation Task Submission},
author = {Ng, Nathan and Yee, Kyra and Baevski, Alexei and Ott, Myle and Auli, Michael and Edunov, Sergey},
booktitle = {Proc. of WMT},
year = 2019,
}