pleonova/multi-label-summary-text
An application that summarizes and classifies long text using zero-shot transfer-learning hosted on Huggingface spaces.
This tool helps you quickly understand and categorize long documents by first shortening them into key summaries. You input lengthy text, and it outputs a concise summary alongside multiple relevant categories or labels, making it easier to grasp the main topics. It's ideal for anyone who regularly deals with large volumes of text and needs to quickly extract the core information and classify it.
No commits in the last 6 months.
Use this if you need to rapidly distill the essence of lengthy documents and automatically assign multiple descriptive tags to them.
Not ideal if you require very detailed, nuanced analysis that can't be captured in a summary or if you need to classify documents into a single, highly specific category.
Stars
13
Forks
5
Language
Python
License
—
Category
Last pushed
Aug 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/pleonova/multi-label-summary-text"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
fdzsergio/Reductio
Automatic summarizer text in Swift
jjangsangy/ExplainToMe
Automatic Web Article Summarizer
SwapnikKatkoori/node-summarizer
A simple node module that allows users to summarize text
PhantomInsights/summarizer
A Reddit bot that summarizes news articles written in Spanish or English. It uses a custom built...
kariminf/allsummarizer
Multilingual automatic text summarizer using statistical approach and extraction