How to use from the
Use from the
Transformers library
# 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-ja-ar")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-ja-ar")
model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-ja-ar")
Quick Links

jpn-ara

  • source group: Japanese

  • target group: Arabic

  • OPUS readme: jpn-ara

  • model: transformer-align

  • source language(s): jpn_Hani jpn_Hira jpn_Kana

  • target language(s): acm apc ara arq arz

  • model: transformer-align

  • pre-processing: normalization + SentencePiece (spm32k,spm32k)

  • 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.jpn.ara 11.6 0.394

System Info:

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