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Labse Mari

Developed by lingtrain
This is a sentence transformer model based on the LaBSE architecture, specifically fine-tuned for Russian-Mari language pairs, capable of mapping sentences and paragraphs into a 768-dimensional dense vector space.
Downloads 17
Release Time : 1/28/2024

Model Overview

This model is a sentence transformer that converts sentences and paragraphs into 768-dimensional dense vectors, suitable for tasks such as sentence similarity calculation, clustering, and semantic search.

Model Features

Multilingual support
Supports bilingual processing capabilities for Russian and Mari.
High-dimensional vector space
Maps sentences and paragraphs into a 768-dimensional dense vector space, facilitating subsequent similarity calculations and clustering analysis.
Sentence similarity calculation
Efficiently computes semantic similarity between sentences.

Model Capabilities

Sentence similarity calculation
Feature extraction
Semantic search
Text clustering

Use Cases

Natural Language Processing
Cross-language information retrieval
Performs cross-language semantic search and information retrieval between Russian and Mari.
Improves the accuracy and efficiency of cross-language search.
Text clustering
Performs clustering analysis on Russian and Mari texts to identify similar text groups.
Helps users quickly identify and categorize similar content.
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