singhsidhukuldeep/Text-Summarizer
Comparing state of the art models for text summary generation
This project helps anyone who needs to quickly grasp the main points of lengthy articles, reports, or documents. By taking in long-form text, it distills the content down to a concise summary, making it easier to digest information rapidly. This tool is ideal for researchers, journalists, business analysts, or students who handle a large volume of text and need to extract key information efficiently.
No commits in the last 6 months.
Use this if you need to summarize news articles, research papers, or any extended text to save time and get the core message quickly.
Not ideal if you require highly specific or nuanced information that might be lost in a condensed summary, or if your text contains complex jargon that needs precise interpretation.
Stars
19
Forks
6
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 06, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/singhsidhukuldeep/Text-Summarizer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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...