# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-de-no")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-de-no", device_map="auto")deu-nor
source group: German
target group: Norwegian
OPUS readme: deu-nor
model: transformer-align
source language(s): deu
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
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| Tatoeba-test.deu.nor | 33.2 | 0.554 |
System Info:
hf_name: deu-nor
source_languages: deu
target_languages: nor
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-nor/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['de', 'no']
src_constituents: {'deu'}
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/deu-nor/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-nor/opus-2020-06-17.test.txt
src_alpha3: deu
tgt_alpha3: nor
short_pair: de-no
chrF2_score: 0.5539999999999999
bleu: 33.2
brevity_penalty: 0.956
ref_len: 32928.0
src_name: German
tgt_name: Norwegian
train_date: 2020-06-17
src_alpha2: de
tgt_alpha2: no
prefer_old: False
long_pair: deu-nor
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-de-no")