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Helsinki-NLP
/
opus-mt-ar-en

Translation
Transformers
PyTorch
google-tensorflow TensorFlow
Rust
Arabic
English
marian
text2text-generation
Model card Files Files and versions
xet
Community
10

Instructions to use Helsinki-NLP/opus-mt-ar-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Helsinki-NLP/opus-mt-ar-en with Transformers:

    # 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-ar-en")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ar-en")
    model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ar-en", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Arabic-English translation benchmark: MSA vs dialectal performance

#10 opened 7 months ago by
O96a

Adding `safetensors` variant of this model

#8 opened over 1 year ago by
SFconvertbot

Update README.md

#7 opened over 2 years ago by
hassan878

Adding `safetensors` variant of this model

#5 opened over 2 years ago by
Jona6tc

Adding `safetensors` variant of this model

#4 opened about 3 years ago by
SFconvertbot

Update README.md

#3 opened over 3 years ago by
saudaloufi12

Request: DOI

1
#2 opened over 3 years ago by
felidrysy

Adding `safetensors` variant of this model

#1 opened over 3 years ago by
SFconvertbot
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