# HHousen/TransformerSum

<https://repo.masters-masters.com/en/repos/HHousen/TransformerSum>

[Home](https://repo.masters-masters.com/en) › [HHousen](https://repo.masters-masters.com/en/owners/HHousen) › [TransformerSum](https://repo.masters-masters.com/en/repos/HHousen/TransformerSum)

HHousen/TransformerSum has 439 stars on GitHub. Its RepoMasters card: Alpha tier. Models to perform neural summarization (extractive and abstractive) using…

| Field | Value |
| --- | --- |
| Owner | [HHousen](https://repo.masters-masters.com/en/owners/HHousen) |
| Stars | 439 |
| Forks | 57 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2020 |
| Topics | automatic-summarization, machine-learning, extractive-summarization, bert, roberta, distilbert, albert, summarization, transformer-models, pytorch-lightning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [HHousen/TransformerSum](https://github.com/HHousen/TransformerSum) |

## Repository

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.