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Surbhipatil
/
summarization_model

Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use Surbhipatil/summarization_model with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Surbhipatil/summarization_model")
    model = AutoModelForSeq2SeqLM.from_pretrained("Surbhipatil/summarization_model")
  • Notebooks
  • Google Colab
  • Kaggle
summarization_model / runs
16.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Surbhipatil's picture
Surbhipatil
End of training
f1eefb1 verified 4 months ago
  • Jan27_03-28-31_bfd847b2fda2
    End of training 4 months ago
  • Jan28_03-00-44_a72ad3c9ba29
    End of training 4 months ago