# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-de-fr")
model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-de-fr")Quick Links
opus-mt-de-fr
source languages: de
target languages: fr
OPUS readme: de-fr
dataset: opus
model: transformer-align
pre-processing: normalization + SentencePiece
download original weights: opus-2020-01-08.zip
test set translations: opus-2020-01-08.test.txt
test set scores: opus-2020-01-08.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| euelections_dev2019.transformer-align.de | 32.2 | 0.590 |
| newssyscomb2009.de.fr | 26.8 | 0.553 |
| news-test2008.de.fr | 26.4 | 0.548 |
| newstest2009.de.fr | 25.6 | 0.539 |
| newstest2010.de.fr | 29.1 | 0.572 |
| newstest2011.de.fr | 26.9 | 0.551 |
| newstest2012.de.fr | 27.7 | 0.554 |
| newstest2013.de.fr | 29.5 | 0.560 |
| newstest2019-defr.de.fr | 36.6 | 0.625 |
| Tatoeba.de.fr | 49.2 | 0.664 |
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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="Nextcloud-AI/opus-mt-de-fr")