Metadata-Version: 2.1
Name: sumbert
Version: 1.0.0
Summary: sumbert: A BERT-based summarizer with a frindly API
Home-page: https://github.com/ptarau/sumbert.git
Author: Paul Tarau
License: Apache
Description: # Abstractive BERT-based Text Summarizer
        
        A BERT-based summarizer, centered towards a simple API: some text in, a summary out, both strings. Also at pypi.org as package ```sumbert```.
        
        ## Installation:
        
        ```pip3 install sumbert```
        
        or if you want ot play with the code, after cloning this, and going into the resulting folder, install as an editable package with:
        
        ```pip3 install -e .```
        
        
        ## Usage:
        
        ```
        $ python3 -i
        >>> from sumbert import summarize
        >>> 
        >>> text= """... your favorite story ..."""
        >>> print(summarize(text))
        ```
        
        This package is designed as a  simple API for an otherwise fairy intricate set of components. 
        
        ## Credits:
        
        The code is derived from the ```bertabs``` submodule in  the HuggingFace transformers package at
        
        [https://github.com/huggingface/transformers](https://github.com/huggingface/transformers)
        
        which credits the abstractive summarization described in the  article [Text Summarization with Pretrained Encoders](https://arxiv.org/pdf/1908.08345.pdf) by [Yang Liu](https://nlp-yang.github.io/) and [Mirella Lapata](https://homepages.inf.ed.ac.uk/mlap/). 
        
        The original code described in the article can be found on the Yang Liu's [github repository](https://github.com/nlpyang/PreSumm).
        
        
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Description-Content-Type: text/markdown
