# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ar")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-ar", device_map="auto")eng-ara
source group: English
target group: Arabic
OPUS readme: eng-ara
model: transformer
source language(s): eng
target language(s): acm afb apc apc_Latn ara ara_Latn arq arq_Latn ary arz
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-2020-07-03.zip
test set translations: opus-2020-07-03.test.txt
test set scores: opus-2020-07-03.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.eng.ara | 14.0 | 0.437 |
System Info:
hf_name: eng-ara
source_languages: eng
target_languages: ara
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-ara/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['en', 'ar']
src_constituents: {'eng'}
tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-ara/opus-2020-07-03.test.txt
src_alpha3: eng
tgt_alpha3: ara
short_pair: en-ar
chrF2_score: 0.43700000000000006
bleu: 14.0
brevity_penalty: 1.0
ref_len: 58935.0
src_name: English
tgt_name: Arabic
train_date: 2020-07-03
src_alpha2: en
tgt_alpha2: ar
prefer_old: False
long_pair: eng-ara
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-en-ar")