Distilbert Base En Ru Cased
This is a distilled version of distilbert-base-multilingual-cased, specifically optimized for English and Russian, maintaining the original model's accuracy.
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Release Time : 3/2/2022
Model Overview
This model is a distilled version of the multilingual BERT model, supporting English and Russian processing, capable of generating representations identical to the original model, suitable for tasks requiring efficient processing of English-Russian bilingual texts.
Model Features
Bilingual Support
Specifically optimized for English and Russian, supporting efficient bilingual text processing.
Maintains Original Accuracy
Capable of generating representations identical to the original model, thus maintaining the original accuracy.
Lightweight
As a distilled model, it is more lightweight compared to the original model, suitable for resource-constrained environments.
Model Capabilities
Text Classification
Named Entity Recognition
Question Answering Systems
Text Representation Generation
Use Cases
Natural Language Processing
English-Russian Bilingual Text Classification
Used for classifying English and Russian texts, such as sentiment analysis, topic classification, etc.
Maintains the same accuracy as the original model.
Named Entity Recognition
Identifies named entities in English and Russian texts, such as person names, place names, organization names, etc.
Efficient and accurate.
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