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Aleton
/
be-en-translator

Translation
Transformers
Safetensors
PyTorch
Belarusian
English
marian
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use Aleton/be-en-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aleton/be-en-translator 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="Aleton/be-en-translator")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Aleton/be-en-translator")
    model = AutoModelForSeq2SeqLM.from_pretrained("Aleton/be-en-translator")
  • Notebooks
  • Google Colab
  • Kaggle
be-en-translator
311 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Aleton's picture
Aleton
Update README.md
c1a481b verified 2 days ago
  • .gitattributes
    1.61 kB
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  • README.md
    1.54 kB
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  • config.json
    1.3 kB
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  • generation_config.json
    994 Bytes
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  • model.safetensors
    308 MB
    xet
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  • source.spm
    707 kB
    xet
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  • target.spm
    791 kB
    xet
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  • tokenizer_config.json
    850 Bytes
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  • vocab.json
    1.55 MB
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