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Bert Kor Base

Developed by kykim
Korean BERT base model trained on a 70GB Korean text dataset, using 42,000 lowercase subword units.
Downloads 89.96k
Release Time : 3/2/2022

Model Overview

This is a BERT base model optimized for Korean, suitable for various Korean natural language processing tasks.

Model Features

Korean Optimization
Specially trained and optimized for Korean language characteristics
Large-scale Training Data
Trained using 70GB of Korean text data
Subword Unit Processing
Employs 42,000 lowercase subword units for Korean text processing

Model Capabilities

Text classification
Named entity recognition
Question answering
Text similarity calculation
Text embedding

Use Cases

Text Analysis
Korean Sentiment Analysis
Analyze sentiment tendencies in Korean text
Korean Named Entity Recognition
Identify entities such as person names, locations, and organizations in Korean text
Information Retrieval
Korean Document Similarity Calculation
Calculate semantic similarity between Korean documents
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