# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ko-fr")
model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ko-fr", device_map="auto")kor-fra
source group: Korean
target group: French
OPUS readme: kor-fra
model: transformer-align
source language(s): kor kor_Hang kor_Hani kor_Latn
target language(s): fra
model: transformer-align
pre-processing: normalization + SentencePiece (spm32k,spm32k)
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.kor.fra | 30.4 | 0.503 |
System Info:
hf_name: kor-fra
source_languages: kor
target_languages: fra
opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fra/README.md
original_repo: Tatoeba-Challenge
tags: ['translation']
languages: ['ko', 'fr']
src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
tgt_constituents: {'fra'}
src_multilingual: False
tgt_multilingual: False
prepro: normalization + SentencePiece (spm32k,spm32k)
url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.zip
url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fra/opus-2020-06-17.test.txt
src_alpha3: kor
tgt_alpha3: fra
short_pair: ko-fr
chrF2_score: 0.503
bleu: 30.4
brevity_penalty: 0.9179999999999999
ref_len: 2714.0
src_name: Korean
tgt_name: French
train_date: 2020-06-17
src_alpha2: ko
tgt_alpha2: fr
prefer_old: False
long_pair: kor-fra
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-ko-fr")