# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ar-he")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ar-he")ara-heb
source group: Arabic
target group: Hebrew
OPUS readme: ara-heb
model: transformer
source language(s): apc apc_Latn ara arq arz
target language(s): heb
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
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.ara.heb | 40.4 | 0.605 |
System Info:
hf_name: ara-heb
source_languages: ara
target_languages: heb
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-heb/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['ar', 'he']
src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
tgt_constituents: {'heb'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.test.txt
src_alpha3: ara
tgt_alpha3: heb
short_pair: ar-he
chrF2_score: 0.605
bleu: 40.4
brevity_penalty: 1.0
ref_len: 6801.0
src_name: Arabic
tgt_name: Hebrew
train_date: 2020-07-03
src_alpha2: ar
tgt_alpha2: he
prefer_old: False
long_pair: ara-heb
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-ar-he")