# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-en-it")
model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-en-it")Quick Links
opus-mt-en-it
source languages: en
target languages: it
OPUS readme: en-it
dataset: opus
model: transformer
pre-processing: normalization + SentencePiece
download original weights: opus-2019-12-04.zip
test set translations: opus-2019-12-04.test.txt
test set scores: opus-2019-12-04.eval.txt
Benchmarks
| testset | BLEU | chr-F |
|---|---|---|
| newssyscomb2009.en.it | 30.9 | 0.606 |
| newstest2009.en.it | 31.9 | 0.604 |
| Tatoeba.en.it | 48.2 | 0.695 |
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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-en-it")