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Modernbert Base Hu V3

Developed by karsar
A Hungarian sentence embedding model fine-tuned based on ModernBERT, used for semantic similarity calculation and text feature extraction
Downloads 20
Release Time : 1/20/2025

Model Overview

This model is a sentence transformer fine-tuned from nomic-ai/modernbert-embed-base, specifically optimized for Hungarian language. It maps text to a 768-dimensional vector space, suitable for tasks like semantic text similarity, semantic search, and text classification

Model Features

Hungarian language optimization
Specially fine-tuned for Hungarian language, demonstrating excellent performance in Hungarian text processing tasks
Long text support
Supports sequences up to 8192 tokens, suitable for processing long documents
Efficient semantic encoding
Maps sentences and paragraphs to a 768-dimensional dense vector space, preserving rich semantic information

Model Capabilities

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

Use Cases

Information retrieval
Similar document retrieval
Finding semantically similar documents in a document repository
Question answering systems
Candidate answer ranking
Ranking candidate answers by relevance based on question semantics
Content moderation
Duplicate content detection
Identifying differently phrased but semantically identical content
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