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Rubert Base Cased Nli Twoway
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Rubert Base Cased Nli Twoway

Developed by cointegrated
A fine-tuned Russian BERT model based on DeepPavlov/rubert-base-cased, designed to predict logical relationships (entailment or non-entailment) between two short texts.
Text Classification
Transformers
 Other#Russian Text Entailment Recognition#Zero-shot Classification#Multi-label Topic Classification
Downloads 71
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned Russian BERT model specifically for natural language inference tasks, capable of determining the logical relationship (entailment or non-entailment) between two texts.

Model Features

Russian Language Support
A natural language inference model optimized specifically for Russian text.
Zero-shot Classification Capability
Capable of performing classification tasks without domain-specific training.
Text Entailment Recognition
Accurately determines the logical relationship (entailment or non-entailment) between two texts.

Model Capabilities

Natural Language Inference
Text Entailment Recognition
Zero-shot Classification

Use Cases

Text Analysis
Topic Classification
Zero-shot topic classification for Russian text
Accurately classifies text topics based on provided candidate labels
Logical Relationship Judgment
Determines the logical relationship between two Russian texts
Identifies entailment relationships between texts
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