R

Rubert Tiny Bilingual Nli

Developed by cointegrated
A Russian natural language inference model fine-tuned from rubert-tiny for predicting logical relationships between texts
Downloads 122
Release Time : 3/2/2022

Model Overview

This model is specifically designed to predict logical relationships (entailment or non-entailment) between two short texts, fine-tuned based on the Russian BERT tiny architecture

Model Features

Russian Optimization
A natural language inference model specifically optimized for Russian texts
Tiny Architecture
Based on the BERT tiny architecture, reducing resource consumption while maintaining performance
Zero-shot Classification
Supports zero-shot classification tasks without requiring domain-specific training data

Model Capabilities

Textual Entailment Recognition
Natural Language Inference
Sentiment Analysis
Zero-shot Classification

Use Cases

Customer Feedback Analysis
Sentiment Polarity Classification
Analyze sentiment tendencies in customer reviews
Can accurately distinguish between satisfied/dissatisfied customer feedback
Content Moderation
Prohibited Content Detection
Identify whether text contains specific types of prohibited content
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase