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Rubert Base Cased Conversational
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Rubert Base Cased Conversational

Developed by DeepPavlov
Russian conversational model trained on OpenSubtitles, Dirty, Pikabu, and Taiga corpus social media sections
Large Language Model Other#Russian Dialogue Understanding#Social Media Text Processing#Masked Language Modeling
Downloads 165.49k
Release Time : 3/2/2022

Model Overview

BERT model optimized for Russian dialogues, trained on social media and movie subtitle data, supports masked language modeling and next sentence prediction tasks

Model Features

Dialogue Optimization
Trained on social media and movie subtitle data, particularly suitable for informal conversational scenarios
Case Sensitivity
Preserves text case information for more accurate handling of proper nouns and sentence-initial words
Extended Vocabulary
Constructed new vocabulary for social media content, covering more informal expressions

Model Capabilities

Russian text understanding
Dialogue context analysis
Sentence relationship prediction
Masked word prediction

Use Cases

Social Media Analysis
User Comment Understanding
Analyzing user comments and interactions on Russian social media
Accurately understands informal expressions and internet slang
Dialogue Systems
Russian Chatbot
Serves as the foundational understanding module for chatbots
Improves processing capability for colloquial expressions
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