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Duplicated from  phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based

Repv1111
/
En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe

Transformers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use Repv1111/En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Repv1111/En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Repv1111/En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe
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  • 2 contributors
History: 2 commits
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Repv1111
Upload tokenizer.json
4031bd7 verified 22 days ago
  • .gitattributes
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    Duplicate from phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based 22 days ago
  • README.md
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    Duplicate from phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based 22 days ago
  • config.json
    281 Bytes
    Duplicate from phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based 22 days ago
  • model.safetensors
    113 MB
    xet
    Duplicate from phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based 22 days ago
  • tokenizer.json
    296 kB
    Upload tokenizer.json 22 days ago
  • tokenizer_config.json
    232 Bytes
    Duplicate from phuvo05/En-Vi-Neural-Machine-Translation-using-Transformers-based 22 days ago