# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-bat-en")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-bat-en")bat-eng
source group: Baltic languages
target group: English
OPUS readme: bat-eng
model: transformer
source language(s): lav lit ltg prg_Latn sgs
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus2m-2020-07-31.zip
test set translations: opus2m-2020-07-31.test.txt
test set scores: opus2m-2020-07-31.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| newsdev2017-enlv-laveng.lav.eng | 27.5 | 0.566 |
| newsdev2019-enlt-liteng.lit.eng | 27.8 | 0.557 |
| newstest2017-enlv-laveng.lav.eng | 21.1 | 0.512 |
| newstest2019-lten-liteng.lit.eng | 30.2 | 0.592 |
| Tatoeba-test.lav-eng.lav.eng | 51.5 | 0.687 |
| Tatoeba-test.lit-eng.lit.eng | 55.1 | 0.703 |
| Tatoeba-test.multi.eng | 50.6 | 0.662 |
| Tatoeba-test.prg-eng.prg.eng | 1.0 | 0.159 |
| Tatoeba-test.sgs-eng.sgs.eng | 16.5 | 0.265 |
System Info:
hf_name: bat-eng
source_languages: bat
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bat-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['lt', 'lv', 'bat', 'en']
src_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bat-eng/opus2m-2020-07-31.test.txt
src_alpha3: bat
tgt_alpha3: eng
short_pair: bat-en
chrF2_score: 0.662
bleu: 50.6
brevity_penalty: 0.9890000000000001
ref_len: 30772.0
src_name: Baltic languages
tgt_name: English
train_date: 2020-07-31
src_alpha2: bat
tgt_alpha2: en
prefer_old: False
long_pair: bat-eng
helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
port_machine: brutasse
port_time: 2020-08-21-14:41
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# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-bat-en")