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Test
This is a tiny Russian BERT model suitable for various natural language processing tasks.
Text Embedding
Transformers Supports Multiple LanguagesOpen Source License:MIT#Russian fill-mask#Tiny pre-training#Multi-task adaptation
Transformers Downloads 21
Release Time : 3/2/2022
Model Overview
This model is a pre-trained Russian BERT model primarily used for fill-mask tasks, supporting both Russian and English.
Model Features
Tiny model
The model is small in size, making it suitable for environments with limited resources.
Multilingual support
Supports both Russian and English languages.
Pre-trained
The model is pre-trained and can be directly used for downstream tasks.
Model Capabilities
Fill-mask
Text embedding
Use Cases
Natural language processing
Text completion
Used to automatically complete missing parts of sentences.
Text classification
Can be used for simple text classification tasks.
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