# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-zls-en")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zls-en")zls-eng
source group: South Slavic languages
target group: English
OPUS readme: zls-eng
model: transformer
source language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn
target language(s): eng
model: transformer
pre-processing: normalization + SentencePiece (spm32k,spm32k)
download original weights: opus2m-2020-08-01.zip
test set translations: opus2m-2020-08-01.test.txt
test set scores: opus2m-2020-08-01.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.bul-eng.bul.eng | 54.9 | 0.693 |
| Tatoeba-test.hbs-eng.hbs.eng | 55.7 | 0.700 |
| Tatoeba-test.mkd-eng.mkd.eng | 54.6 | 0.681 |
| Tatoeba-test.multi.eng | 53.6 | 0.676 |
| Tatoeba-test.slv-eng.slv.eng | 25.6 | 0.407 |
System Info:
hf_name: zls-eng
source_languages: zls
target_languages: eng
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-eng/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['hr', 'mk', 'bg', 'sl', 'zls', 'en']
src_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
tgt_constituents: {'eng'}
src_multilingual: True
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.test.txt
src_alpha3: zls
tgt_alpha3: eng
short_pair: zls-en
chrF2_score: 0.6759999999999999
bleu: 53.6
brevity_penalty: 0.98
ref_len: 68623.0
src_name: South Slavic languages
tgt_name: English
train_date: 2020-08-01
src_alpha2: zls
tgt_alpha2: en
prefer_old: False
long_pair: zls-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-zls-en")