Extractive Text Summarization with BERT
Project description
Bert Extractive Summarizer
This repo is the generalization of the lecture-summarizer repo. This tool utilizes the HuggingFace Pytorch BERT library to run extractive summarizations. This works by first embedding the sentences, then running a clustering algorithm, finding the sentences that are closest to the cluster's centroids.
How to Use
Simple Example
from summarizer import SingleModel
body = 'text you want to summarize'
summary = SingleModel()(body)
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