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E5 Large Korean

Developed by upskyy
A Korean sentence embedding model fine-tuned based on multilingual-e5-large, supporting 1024-dimensional vector space mapping, suitable for tasks such as semantic similarity calculation
Downloads 2,222
Release Time : 8/9/2024

Model Overview

This model is a Korean sentence embedding model fine-tuned on the korsts and kornli datasets based on multilingual-e5-large. It can map text to a 1024-dimensional dense vector space and supports various tasks such as semantic textual similarity, semantic search, and text classification.

Model Features

Multilingual support
Fine-tuned based on multilingual-e5-large, retaining support for multiple languages
High-dimensional vector space
Maps sentences and paragraphs to a 1024-dimensional dense vector space, capturing rich semantic information
Korean optimization
Specially fine-tuned and optimized for Korean, excelling in Korean semantic similarity tasks

Model Capabilities

Semantic textual similarity calculation
Semantic search
Paraphrase mining
Text classification
Text clustering

Use Cases

Information retrieval
Similar document retrieval
Find semantically similar documents based on query statements
Text analysis
Text clustering
Automatically group semantically similar texts
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