D

Dragonkue KoEn E5 Tiny

Developed by exp-models
This is a sentence-transformers model fine-tuned from intfloat/multilingual-e5-small, trained with Korean query-passage pairs to enhance performance in Korean retrieval tasks.
Downloads 607
Release Time : 5/13/2025

Model Overview

The model maps sentences and paragraphs into a 384-dimensional dense vector space, suitable for tasks like semantic textual similarity, semantic search, paraphrase mining, text classification, and clustering.

Model Features

Korean optimization
Fine-tuned specifically for Korean retrieval tasks, improving Korean text processing performance.
Lightweight design
The model is compact, suitable for demo runs or lightweight applications, offering a good balance between speed and accuracy.
Multilingual support
Supports multiple languages including English, in addition to Korean.
Long text processing
Maximum sequence length of 512 tokens, suitable for handling longer texts.

Model Capabilities

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

Use Cases

Information retrieval
Korean document retrieval
Used in Korean document retrieval systems to improve search relevance.
Performs well on multiple Korean retrieval benchmarks.
Question answering system
Used to build Korean question-answering systems, matching questions with relevant answer passages.
Text analysis
Text similarity analysis
Calculates semantic similarity between Korean texts.
Text clustering
Performs semantic clustering on Korean texts.
Featured Recommended AI Models
ยฉ 2025AIbase