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rooftopcoder
/
tst-summarization

Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

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

  • Libraries
  • Transformers

    How to use rooftopcoder/tst-summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/tst-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/tst-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
tst-summarization / runs
58.8 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 83 commits
rooftopcoder's picture
rooftopcoder
Model save
79ae072 almost 3 years ago
  • May10_08-27-07_dcfe3eebc4a9
    Model save almost 3 years ago
  • May10_18-19-40_1a6e58a818b7
    Model save almost 3 years ago