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michaelfeil
/
ct2fast-opus-mt-ROMANCE-en

Translation
Transformers
ctranslate2
Model card Files Files and versions
xet
Community
1

Instructions to use michaelfeil/ct2fast-opus-mt-ROMANCE-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michaelfeil/ct2fast-opus-mt-ROMANCE-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="michaelfeil/ct2fast-opus-mt-ROMANCE-en")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("michaelfeil/ct2fast-opus-mt-ROMANCE-en", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ct2fast-opus-mt-ROMANCE-en
159 MB
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  • 2 contributors
History: 2 commits
michaelfeil's picture
michaelfeil
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  • .gitattributes
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  • README.md
    3.8 kB
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  • config.json
    159 Bytes
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  • generation_config.json
    293 Bytes
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  • model.bin
    156 MB
    xet
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  • shared_vocabulary.txt
    598 kB
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  • source.spm
    800 kB
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  • target.spm
    779 kB
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  • tokenizer_config.json
    265 Bytes
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  • vocab.json
    1.46 MB
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