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Ukr Paraphrase Multilingual Mpnet Base

Developed by lang-uk
A sentence embedding model optimized for Ukrainian, based on the multilingual MPNet architecture, suitable for semantic similarity and feature extraction tasks
Downloads 1,110
Release Time : 3/23/2024

Model Overview

This model maps Ukrainian sentences and paragraphs into a 768-dimensional dense vector space, supporting natural language processing tasks such as clustering and semantic search

Model Features

Ukrainian language optimization
Specially fine-tuned for Ukrainian, providing more accurate semantic representations
Multilingual support
Based on a multilingual model architecture, supporting sentence embeddings for multiple languages
Efficient semantic encoding
Converts text into 768-dimensional dense vectors, preserving rich semantic information

Model Capabilities

Sentence vectorization
Semantic similarity calculation
Text clustering
Cross-language feature extraction

Use Cases

Information retrieval
Semantic search
Build a search system based on semantics rather than keywords
Improves search relevance and accuracy
Text analysis
Document clustering
Automatically group similar documents
Enables unsupervised document organization
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