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Benjiccee
/
BART-CNN-Orangesum

Summarization
Transformers
PyTorch
TensorBoard
French
English
bart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use Benjiccee/BART-CNN-Orangesum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Benjiccee/BART-CNN-Orangesum with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" 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("summarization", model="Benjiccee/BART-CNN-Orangesum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Benjiccee/BART-CNN-Orangesum")
    model = AutoModelForSeq2SeqLM.from_pretrained("Benjiccee/BART-CNN-Orangesum")
  • Notebooks
  • Google Colab
  • Kaggle
BART-CNN-Orangesum / runs
97.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit

This model has 1 file scanned as unsafe.

Benjiccee's picture
Benjiccee
Training complete!
b3b9b61 almost 3 years ago
  • Jul30_19-45-45_admin-PC
    Training complete! almost 3 years ago
  • Jul30_19-59-21_admin-PC
    Training complete! almost 3 years ago
  • Jul30_20-03-42_admin-PC
    Training complete! almost 3 years ago
  • Jul30_20-09-02_admin-PC
    Training complete! almost 3 years ago
  • Jul30_20-12-19_admin-PC
    Training complete! almost 3 years ago
  • Jul30_20-16-05_admin-PC
    Training complete! almost 3 years ago
  • Jul30_20-24-41_admin-PC
    Training complete! almost 3 years ago