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Bert Base Ukr Eng Rus Uncased
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Bert Base Ukr Eng Rus Uncased
Developed by mshamrai
This is a streamlined version of bert-base-multilingual-uncased, retaining only Ukrainian, English, and Russian tokens in the vocabulary.
Downloads 84
Release Time : 3/2/2022
Model Overview
This model is a multilingual BERT-based architecture, specifically optimized for Ukrainian, English, and Russian, suitable for text processing tasks in these three languages.
Model Features
Multilingual Support
Specifically optimized for Ukrainian, English, and Russian, suitable for text processing tasks in these three languages.
Streamlined Vocabulary
Retains only Ukrainian, English, and Russian tokens, reducing model size and computational resource requirements.
BERT-Based Architecture
Adopts the BERT architecture, offering robust text representation and transfer learning capabilities.
Model Capabilities
Text classification
Named entity recognition
Question-answering systems
Text similarity calculation
Use Cases
Natural Language Processing
Multilingual Text Classification
Classify texts in Ukrainian, English, or Russian.
Named Entity Recognition
Identify named entities in Ukrainian, English, or Russian texts.
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