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Alessandrodeeplearning
/
mt5-small-finetuned-summarization-it

Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Alessandrodeeplearning/mt5-small-finetuned-summarization-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Alessandrodeeplearning/mt5-small-finetuned-summarization-it with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Alessandrodeeplearning/mt5-small-finetuned-summarization-it")
    model = AutoModelForSeq2SeqLM.from_pretrained("Alessandrodeeplearning/mt5-small-finetuned-summarization-it")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-finetuned-summarization-it / runs
43.2 kB
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  • 1 contributor
History: 16 commits
Alessandrodeeplearning's picture
Alessandrodeeplearning
Training in progress, step 500
0fb6d9a almost 3 years ago
  • Jul06_09-46-14_2b550b26ea58
    Training in progress, step 500 almost 3 years ago
  • Jul06_11-10-26_2b550b26ea58
    Training in progress, step 11500 almost 3 years ago
  • Jul06_19-18-26_77a9f7461e69
    Training in progress, step 500 almost 3 years ago