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razvanfischer
/
bart-large-cnn_fine_tuned

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

Instructions to use razvanfischer/bart-large-cnn_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use razvanfischer/bart-large-cnn_fine_tuned 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="razvanfischer/bart-large-cnn_fine_tuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("razvanfischer/bart-large-cnn_fine_tuned")
    model = AutoModelForSeq2SeqLM.from_pretrained("razvanfischer/bart-large-cnn_fine_tuned")
  • Notebooks
  • Google Colab
  • Kaggle
bart-large-cnn_fine_tuned / runs
44.2 kB
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  • 1 contributor
History: 2 commits
razvanfischer's picture
razvanfischer
Shrunk learning rate
ab77d99 verified over 2 years ago
  • Feb07_10-01-37_a5e6b9f3c914
    Training complete over 2 years ago
  • Feb08_15-21-39_0f69a279724d
    Shrunk learning rate over 2 years ago