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Helsinki-NLP/opus-mt-sv-no
opus-mt-sv-no is a translation model from Helsinki-NLP. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as apache-2.0.
source group: Swedish target group: Norwegian OPUS readme: swe-nor
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From the Hugging Face model README
source group: Swedish
target group: Norwegian
OPUS readme: swe-nor
model: transformer-align
source language(s): swe
target language(s): nno nob
model: transformer-align
pre-processing: normalization + SentencePiece (spm4k,spm4k)
a sentence initial language token is required in the form of >>id<< (id = valid target language ID)
download original weights: opus-2020-06-17.zip
test set translations: opus-2020-06-17.test.txt
test set scores: opus-2020-06-17.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.swe.nor | 65.8 | 0.796 |
hf_name: swe-nor
source_languages: swe
target_languages: nor
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-nor/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['sv', 'no']
src_constituents: {'swe'}
tgt_constituents: {'nob', 'nno'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm4k,spm4k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/swe-nor/opus-2020-06-17.test.txt
src_alpha3: swe
tgt_alpha3: nor
short_pair: sv-no
chrF2_score: 0.7959999999999999
bleu: 65.8
brevity_penalty: 0.991
ref_len: 3682.0
src_name: Swedish
tgt_name: Norwegian
train_date: 2020-06-17
src_alpha2: sv
tgt_alpha2: no
prefer_old: False
long_pair: swe-nor
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41