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Kobart Korean Summarizer V2

Developed by gangyeolkim
Korean text summarization model trained on gogamza/kobart-base-v2, using 680,000 summary data points from AI Hub
Downloads 164
Release Time : 11/23/2023

Model Overview

This is a specialized model for Korean text summarization that can compress long texts into concise summaries

Model Features

Korean Language Optimization
Summarization model specifically optimized for Korean text
Large-scale Data Training
Trained with over 680,000 Korean summary data points from AI Hub
Efficient Training
Completed 3 epochs of training in just 17 hours on an A100 GPU

Model Capabilities

Korean text summarization
Long text compression
Key information extraction

Use Cases

News Summarization
News Article Summarization
Compress lengthy news reports into concise summaries
As shown in examples, can compress long news articles into 1-2 sentence key summaries
Document Processing
Report Summarization
Extract key information from long documents to generate summaries
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