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Gabriel
/
bart-base-cnn-xsum-swe

Summarization
Transformers
PyTorch
TensorBoard
Swedish
bart
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use Gabriel/bart-base-cnn-xsum-swe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gabriel/bart-base-cnn-xsum-swe 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="Gabriel/bart-base-cnn-xsum-swe")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Gabriel/bart-base-cnn-xsum-swe")
    model = AutoModelForSeq2SeqLM.from_pretrained("Gabriel/bart-base-cnn-xsum-swe")
  • Notebooks
  • Google Colab
  • Kaggle
bart-base-cnn-xsum-swe / runs
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
Gabriel's picture
Gabriel
End of training
4a77a48 almost 4 years ago
  • Sep25_18-12-58_94ab9a87efd3
    End of training almost 4 years ago
  • Sep27_06-52-37_5e57fb88152f
    End of training almost 4 years ago
  • Sep27_17-36-49_e9814f7c0657
    End of training almost 4 years ago