S

Sentence Transformers Klue Bert Base

Developed by hunkim
This is a sentence-transformers model based on KLUE BERT-base, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space.
Downloads 119
Release Time : 5/31/2022

Model Overview

This model is primarily used for vector representation of sentences and paragraphs, suitable for natural language processing tasks such as clustering and semantic search.

Model Features

Dense vector representation
Maps sentences and paragraphs into a 768-dimensional dense vector space
Sentence similarity calculation
Can be used to calculate semantic similarity between sentences
Based on KLUE BERT
BERT model trained using the Korean Language Understanding Evaluation (KLUE) benchmark

Model Capabilities

Sentence vectorization
Semantic similarity calculation
Text feature extraction
Text clustering

Use Cases

Information retrieval
Semantic search
Implements search based on semantics rather than keywords through vector similarity
Improves the relevance of search results
Text analysis
Document clustering
Groups similar documents together
Achieves unsupervised document classification
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase