Text Summarization Library based on transformers
Project description
BERT-based text summarizers
Table of Contents
- Table of Contents
- About the Project
- Getting started
- Usage
- Roadmap
- Contributing
- License
- Contact
- Acknowledgements
About the Project
- This repository will provide various summarization models using BERT.
Getting started
TBW
Usage
TBW
Roadmap
- BertSumExt
Contributing
TBW
License
Distributed under the MIT License. See LICENSE
for more information.
Contact
Keisuke Hirota - @rad0717 - tahiro.k.ad[at]gmail.com
Project Link: https://github.com/k-tahiro/bert-summarizer
Acknowledgements
- EMNLP 2019 paper Text Summarization with Pretrained Encoders
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bert-summarizer-0.2.3.tar.gz
(13.6 kB
view hashes)
Built Distribution
Close
Hashes for bert_summarizer-0.2.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 214e5082a5fe1b13e7397afc95b2d3fe2c09f9900a8b3aeaf9f434553fb31122 |
|
MD5 | 0135133a13280fe888bd2c31124cf203 |
|
BLAKE2b-256 | c0ccade1e808007a68e0bbf40705f964b78a677997ae073a4e707114b2561e2b |