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.

Date Created 2020-04-07 (4 years ago)

Commits 240 (last one about a year ago)

Stargazers 428 (0 this week)

Watchers 6 (0 this week)

Forks 58

License gpl-3.0

Ranking

RepositoryStats indexes 585,332 repositories, of these HHousen/TransformerSum is ranked #101,759 (83rd percentile) for total stargazers, and #298,055 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #17,002/116,570.

HHousen/TransformerSum is also tagged with popular topics, for these it's ranked: machine-learning (#2,207/7939), bert (#172/558)

Other Information

HHousen/TransformerSum has Github issues enabled, there are 9 open issues and 43 closed issues.

Homepage URL: https://transformersum.rtfd.io

All Topics

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

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18 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

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updated: 2024-11-19 @ 06:23am, id: 253688714 / R_kgDODx77ig