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Reranker Dialog Items Biencoder Rubert Tiny Turbo 6
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Reranker Dialog Items Biencoder Rubert Tiny Turbo 6

Developed by denis-gordeev
A Russian miniature language model based on BERT architecture, suitable for sentence similarity calculation and feature extraction tasks
Text Embedding
Safetensors
#Russian sentence similarity#Contrastive loss optimization#E-commerce product matching
Downloads 115
Release Time : 12/19/2024

Model Overview

This model is a lightweight Russian version of the BERT architecture, specifically optimized for sentence similarity comparison and text feature extraction. The model size is small but maintains good semantic understanding capabilities.

Model Features

Lightweight and efficient
Miniature model size suitable for deployment in resource-constrained environments
Russian language optimization
Specially trained and optimized for Russian text
Contrastive learning
Trained using contrastive loss function to enhance sentence similarity judgment capability

Model Capabilities

Sentence similarity calculation
Text feature extraction
Semantic understanding
Sentence embedding generation

Use Cases

E-commerce
Product search relevance ranking
Rank search results based on semantic similarity between user queries and product descriptions
Improves search result relevance and user experience
Product recommendation
Personalized recommendations based on similarity between user query history and product descriptions
Increases conversion rates and user satisfaction
Customer support
FAQ matching
Match customer questions with frequently asked questions in knowledge base based on similarity
Quickly provides accurate answers, reducing manual customer service workload
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