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PardisSzah
/
mBART-ft-TWC

Translation
Transformers
Safetensors
mbart
text2text-generation
fineTune-mbart-50
Model card Files Files and versions
xet
Community

Instructions to use PardisSzah/mBART-ft-TWC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PardisSzah/mBART-ft-TWC 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="PardisSzah/mBART-ft-TWC")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("PardisSzah/mBART-ft-TWC")
    model = AutoModelForSeq2SeqLM.from_pretrained("PardisSzah/mBART-ft-TWC")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • README.md
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  • config.json
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  • tokenizer.json
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  • tokenizer_config.json
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