aj-naik/Text-Summarization
Abstractive and Extractive Text summarization using Transformers.
This project helps students, researchers, or anyone dealing with large volumes of text quickly grasp the main points. You provide it with a long document, article, or research paper, and it generates either a condensed version highlighting key sentences or a completely new, shorter summary in your own words. It's designed for anyone needing to efficiently process information and get to the core message without reading everything.
No commits in the last 6 months.
Use this if you need to summarize lengthy articles, reports, or research papers for study, analysis, or general comprehension.
Not ideal if you need to summarize multiple short paragraphs separately, as the tool currently prefers a single, continuous block of text.
Stars
86
Forks
7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 09, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/aj-naik/Text-Summarization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
abelriboulot/onnxt5
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using...
pszemraj/textsum
CLI & Python API to easily summarize text-based files with transformers
rojagtap/transformer-abstractive-summarization
Abstractive Text Summarization using Transformer
HHousen/DocSum
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine...
abhilash1910/LongPegasus
LongPegasus package is used for inducing longformer self attention over base pegasus abstractive...