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Ayham
/
bert_gpt2_summarization_xsum

Transformers
PyTorch
TensorBoard
encoder-decoder
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Ayham/bert_gpt2_summarization_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ayham/bert_gpt2_summarization_xsum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Ayham/bert_gpt2_summarization_xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/bert_gpt2_summarization_xsum")
  • Notebooks
  • Google Colab
  • Kaggle
bert_gpt2_summarization_xsum / runs
24.6 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
Ayham's picture
Ayham
end_of_training
ab150ea over 4 years ago
  • Dec16_01-34-21_0c1793d5e019
    end_of_training over 4 years ago