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ARTeLab
/
it5-summarization-ilpost

Summarization
Transformers
PyTorch
TensorBoard
Safetensors
Italian
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
8

Instructions to use ARTeLab/it5-summarization-ilpost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ARTeLab/it5-summarization-ilpost 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="ARTeLab/it5-summarization-ilpost")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ARTeLab/it5-summarization-ilpost")
    model = AutoModelForSeq2SeqLM.from_pretrained("ARTeLab/it5-summarization-ilpost")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add evaluation results on the default config and train split of medical_questions_pairs

#8 opened over 2 years ago by
autoevaluator

Add evaluation results on the 3.0.0 config and test split of cnn_dailymail

#7 opened over 2 years ago by
autoevaluator

Add evaluation results on the 3.0.0 config and test split of cnn_dailymail

#6 opened over 2 years ago by
autoevaluator

Add evaluation results on the samsum config and test split of samsum

#3 opened over 3 years ago by
autoevaluator

Add evaluation results on the ARTeLab--ilpost config and test split of ARTeLab/ilpost

#2 opened over 3 years ago by
autoevaluator
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