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Sbert Large Nlu Ru

Developed by ai-forever
This is a large Russian language model based on the BERT architecture, specifically designed for generating sentence embeddings with case-insensitive processing support.
Downloads 386.96k
Release Time : 3/2/2022

Model Overview

This model is based on the BERT architecture and optimized for Russian text, primarily used for generating high-quality sentence embeddings. It is recommended to use average token embeddings for better quality.

Model Features

Case-insensitive
The model processes text without case sensitivity, improving robustness to variations in input text.
High-quality sentence embeddings
Specially optimized for generating sentence-level embedding representations.
Russian language optimization
Specifically optimized for Russian text.

Model Capabilities

Russian text understanding
Sentence embedding generation
Semantic similarity calculation

Use Cases

Text similarity
Document similarity calculation
Compare semantic similarity between different documents
Information retrieval
Semantic search
Search system based on semantics rather than keyword matching
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