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Normal1919
/
mbart-large-50-one-to-many-lil-fine-tune

Translation
Transformers
PyTorch
English
Chinese
mbart
text2text-generation
fine tune
fine_tune
mbart-50
Model card Files Files and versions
xet
Community
1

Instructions to use Normal1919/mbart-large-50-one-to-many-lil-fine-tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Normal1919/mbart-large-50-one-to-many-lil-fine-tune 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="Normal1919/mbart-large-50-one-to-many-lil-fine-tune")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Normal1919/mbart-large-50-one-to-many-lil-fine-tune")
    model = AutoModelForSeq2SeqLM.from_pretrained("Normal1919/mbart-large-50-one-to-many-lil-fine-tune", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mbart-large-50-one-to-many-lil-fine-tune
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  • 1 contributor
History: 2 commits
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Normal1919
Update README.md
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    initial commit almost 3 years ago
  • README.md
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