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Helsinki-NLP/opus-mt-en-map Helsinki-NLP/opus-mt-en-map
13 downloads
last 30 days

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1325 models

How to use this model directly from the 🤗/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-map") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-map")
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eng-map

  • source group: English

  • target group: Austronesian languages

  • OPUS readme: eng-map

  • model: transformer

  • source language(s): eng

  • target language(s): akl_Latn ceb cha dtp fij gil haw hil iba ilo ind jav jav_Java lkt mad mah max_Latn min mlg mri nau niu pag pau rap smo sun tah tet tmw_Latn ton tvl war zlm_Latn zsm_Latn

  • model: transformer

  • pre-processing: normalization + SentencePiece (spm32k,spm32k)

  • a sentence initial language token is required in the form of >>id<< (id = valid target language ID)

  • download original weights: opus-2020-07-27.zip

  • test set translations: opus-2020-07-27.test.txt

  • test set scores: opus-2020-07-27.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng-akl.eng.akl 2.2 0.103
Tatoeba-test.eng-ceb.eng.ceb 10.7 0.425
Tatoeba-test.eng-cha.eng.cha 3.2 0.201
Tatoeba-test.eng-dtp.eng.dtp 0.5 0.120
Tatoeba-test.eng-fij.eng.fij 26.8 0.453
Tatoeba-test.eng-gil.eng.gil 59.3 0.762
Tatoeba-test.eng-haw.eng.haw 1.0 0.116
Tatoeba-test.eng-hil.eng.hil 19.0 0.517
Tatoeba-test.eng-iba.eng.iba 15.5 0.400
Tatoeba-test.eng-ilo.eng.ilo 33.6 0.591
Tatoeba-test.eng-jav.eng.jav 7.8 0.301
Tatoeba-test.eng-lkt.eng.lkt 1.0 0.064
Tatoeba-test.eng-mad.eng.mad 1.1 0.142
Tatoeba-test.eng-mah.eng.mah 9.1 0.374
Tatoeba-test.eng-mlg.eng.mlg 35.4 0.526
Tatoeba-test.eng-mri.eng.mri 7.6 0.309
Tatoeba-test.eng-msa.eng.msa 31.1 0.565
Tatoeba-test.eng.multi 17.6 0.411
Tatoeba-test.eng-nau.eng.nau 1.4 0.098
Tatoeba-test.eng-niu.eng.niu 40.1 0.560
Tatoeba-test.eng-pag.eng.pag 16.8 0.526
Tatoeba-test.eng-pau.eng.pau 1.9 0.139
Tatoeba-test.eng-rap.eng.rap 2.7 0.090
Tatoeba-test.eng-smo.eng.smo 24.9 0.453
Tatoeba-test.eng-sun.eng.sun 33.2 0.439
Tatoeba-test.eng-tah.eng.tah 12.5 0.278
Tatoeba-test.eng-tet.eng.tet 1.6 0.140
Tatoeba-test.eng-ton.eng.ton 25.8 0.530
Tatoeba-test.eng-tvl.eng.tvl 31.1 0.523
Tatoeba-test.eng-war.eng.war 12.8 0.436

System Info: