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Open-weight model · Translation

opus-mt-es-en

by Helsinki-NLP Research Group Helsinki-NLP/opus-mt-es-en

hfname: spa-eng - sourcelanguages: spa - targetlanguages: eng - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md - originalrepo: Tatoeba-Challenge - srcconstituents: {'spa'} - tgtconstituents: {'eng'} …

Parameters
Context512
Weights624.7 MB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads263.9k

Model Card

By Helsinki-NLP Research Group, published under apache-2.0, revision c96e2c5399eb.

hfname: spa-eng - sourcelanguages: spa - targetlanguages: eng - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md - originalrepo: Tatoeba-Challenge - srcconstituents: {'spa'} - tgtconstituents: {'eng'} - srcmultilingual: False - tgtmultilingual: False - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt - srcalpha3: spa - tgtalpha3: eng - shortpair: es-en - chrF2score: 0.7390000000000001 - brevitypenalty: 0.9740000000000001 - reflen: 79376.0 - srcname: Spanish - tgtname: English - traindate: 2020-08-18 00:00:00…

Read Helsinki-NLP Research Group's full model card

spa-eng

Benchmarks

testset BLEU chr-F
newssyscomb2009-spaeng.spa.eng 30.6 0.570
news-test2008-spaeng.spa.eng 27.9 0.553
newstest2009-spaeng.spa.eng 30.4 0.572
newstest2010-spaeng.spa.eng 36.1 0.614
newstest2011-spaeng.spa.eng 34.2 0.599
newstest2012-spaeng.spa.eng 37.9 0.624
newstest2013-spaeng.spa.eng 35.3 0.609
Tatoeba-test.spa.eng 59.6 0.739

System Info:

  • hf_name: spa-eng

  • source_languages: spa

  • target_languages: eng

  • opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md

  • original_repo: Tatoeba-Challenge

  • tags: ['translation']

  • languages: ['es', 'en']

  • src_constituents: {'spa'}

  • tgt_constituents: {'eng'}

  • src_multilingual: False

  • tgt_multilingual: False

  • prepro: normalization + SentencePiece (spm32k,spm32k)

  • url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.zip

  • url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-eng/opus-2020-08-18.test.txt

  • src_alpha3: spa

  • tgt_alpha3: eng

  • short_pair: es-en

  • chrF2_score: 0.7390000000000001

  • bleu: 59.6

  • brevity_penalty: 0.9740000000000001

  • ref_len: 79376.0

  • src_name: Spanish

  • tgt_name: English

  • train_date: 2020-08-18 00:00:00

  • src_alpha2: es

  • tgt_alpha2: en

  • prefer_old: False

  • long_pair: spa-eng

  • helsinki_git_sha: d2f0910c89026c34a44e331e785dec1e0faa7b82

  • transformers_git_sha: f7af09b4524b784d67ae8526f0e2fcc6f5ed0de9

  • port_machine: brutasse

  • port_time: 2020-08-24-18:20

Configuration

Architecture
MarianMTModel
Context length (tokens)
512
Layers
6
Vocabulary size
65,001
Model type
marian

Identity and Version

Repository
Helsinki-NLP/opus-mt-es-en
Publisher
Helsinki-NLP Research Group
Task
Translation
Modality
Text
Library
transformers
Parameters
Not stated by the source
Languages
es, en
Revision
c96e2c5399ebfae4fc43d9669556b9afa74bb69d
First published
2022-03-02
Last updated
2023-08-16

Files and Weights

11 files, 627.9 MB in total. The weights are 2 files totalling 624.7 MB in bin, h5.

Weights2 files · 624.7 MB
Configuration3 files · 2.8 KB
Tokenizer2 files · 1.6 MB
Documentation1 file · 2.4 KB
Other2 files · 1.6 MB
Repository1 file · 345 B
Every file
FileTypeSizeSHA-256
pytorch_model.binWeights312.1 MB 586a4e69e080
tf_model.h5Weights312.6 MB 9a1bab8c96a2
config.jsonConfiguration1.4 KB
generation_config.jsonConfiguration293 B
metadata.jsonConfiguration1.1 KB
README.mdDocumentation2.4 KB
source.spmOther825.9 KB
target.spmOther801.6 KB
.gitattributesRepository345 B
tokenizer_config.jsonTokenizer44 B
vocab.jsonTokenizer1.6 MB

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
624.7 MB
Download from Helsinki-NLP Research Group

Released by Helsinki-NLP Research Group through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published624.7 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About opus-mt-es-en

Can I use opus-mt-es-en commercially?

Yes. opus-mt-es-en is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is opus-mt-es-en's context length?

512 tokens, from the maximum position embeddings in its published configuration.

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hfname: kor-eng - sourcelanguages: kor - targetlanguages: eng - opusreadmeurl: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md - originalrepo: Tatoeba-Challenge - srcconstituents: {'korHani', 'korHang', 'korLatn', 'kor'} - tgtconstituents: {'eng'} - srcmultilingual: False - tgtmultilingual: False - urlmodel: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip - urltestset: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt - srcalpha3: kor - tgtalpha3: eng - shortpair: ko-en - chrF2score: 0.588 - brevitypenalty: 0.9590000000000001 - reflen: 17711.0 - srcname: Korean - tgtname: English - traindate…

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