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Xlm Roberta Large En Ru
X
Xlm Roberta Large En Ru
Developed by DeepPavlov
An improved version based on XLM-RoBERTa, with the embedding layer and vocabulary streamlined to retain only the most common high-frequency words in English and Russian.
Downloads 902
Release Time : 3/2/2022
Model Overview
This model is a streamlined version of XLM-RoBERTa-Large, specifically optimized for English and Russian. It reduces the model size and improves processing efficiency by removing vocabulary from other languages.
Model Features
Bilingual Support
Specifically optimized for English and Russian, providing more efficient bilingual processing capabilities.
Streamlined Vocabulary
Removes non-English and non-Russian vocabulary to reduce model size and improve processing speed.
Based on XLM-RoBERTa
Inherits the powerful cross-language understanding capabilities of XLM-RoBERTa.
Model Capabilities
Text classification
Named entity recognition
Text generation
Language understanding
Use Cases
Natural Language Processing
Bilingual Text Classification
Classify mixed English and Russian texts.
Russian Named Entity Recognition
Identify named entities from Russian texts.
Machine Translation Assistance
English-Russian Translation Quality Assessment
Assist in evaluating the quality of English-Russian translations.
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