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Kobart Base V1
K
Kobart Base V1
Developed by gogamza
KoBART is a Korean pretrained model based on the BART architecture, suitable for various Korean natural language processing tasks.
Downloads 2,077
Release Time : 3/2/2022
Model Overview
KoBART is a Korean pretrained model based on the BART architecture. It is pretrained on a large-scale Korean corpus and can handle various Korean natural language processing tasks such as text generation and text classification.
Model Features
Korean Optimization
Specially optimized for Korean, enabling better understanding and generation of Korean text.
Based on BART Architecture
Utilizes the BART architecture, combining the strengths of bidirectional encoders and autoregressive decoders, making it suitable for various natural language processing tasks.
Pretrained Model
Pretrained on a large-scale Korean corpus, equipped with strong language understanding and generation capabilities.
Model Capabilities
Text Generation
Text Classification
Text Summarization
Machine Translation
Use Cases
Text Generation
News Summarization
Generate concise summaries of news articles using the model.
Dialogue Generation
Generate natural and fluent Korean dialogues.
Text Classification
Sentiment Analysis
Classify the sentiment polarity of Korean text.
Topic Classification
Classify Korean text by topic.
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