https://github.com/HHousen/TransformerSum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
https://github.com/HHousen/TransformerSum

albert automatic-summarization bert distilbert extractive-summarization machine-learning pytorch-lightning roberta summarization summarization-dataset text-summarization transformer-models

Last synced: about 2 months ago
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Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

• Host: GitHub
• URL: https://github.com/HHousen/TransformerSum
• Owner: HHousen
• License: gpl-3.0
• Created: 2020-04-07T04:41:40.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-05-03T01:34:49.000Z (over 1 year ago)
• Last Synced: 2024-06-17T22:49:33.370Z (3 months ago)
• Topics: albert, automatic-summarization, bert, distilbert, extractive-summarization, machine-learning, pytorch-lightning, roberta, summarization, summarization-dataset, text-summarization, transformer-models
• Language: Python
• Homepage: https://transformersum.rtfd.io
• Size: 11.7 MB
• Stars: 424
• Watchers: 6
• Forks: 59
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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