# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-es-fr")
model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-es-fr")Quick Links
opus-mt-es-fr
source languages: es
target languages: fr
OPUS readme: es-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 |
|---|---|---|
| newssyscomb2009.es.fr | 33.6 | 0.610 |
| news-test2008.es.fr | 32.0 | 0.585 |
| newstest2009.es.fr | 32.5 | 0.590 |
| newstest2010.es.fr | 35.0 | 0.615 |
| newstest2011.es.fr | 33.9 | 0.607 |
| newstest2012.es.fr | 32.4 | 0.602 |
| newstest2013.es.fr | 32.1 | 0.593 |
| Tatoeba.es.fr | 58.4 | 0.731 |
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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-es-fr")