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shrimpseu
/
t5summarization

Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use shrimpseu/t5summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shrimpseu/t5summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("shrimpseu/t5summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("shrimpseu/t5summarization")
  • Notebooks
  • Google Colab
  • Kaggle
t5summarization / runs
13.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
shrimpseu's picture
shrimpseu
End of training
fea7644 about 3 years ago
  • May01_13-37-38_f422dadd8134
    End of training about 3 years ago