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Roberta Base Russian V0

Developed by blinoff
This is a RoBERTa-like language model trained on partial data from the TAIGA corpus, primarily for Russian text processing.
Downloads 109
Release Time : 3/2/2022

Model Overview

This model is a Russian language model based on the RoBERTa architecture, trained for approximately 60,000 steps, suitable for natural language processing tasks such as text filling.

Model Features

Trained on TAIGA Corpus
The model is trained on partial data from the TAIGA corpus, enabling Russian text processing capabilities.
RoBERTa-like Architecture
Utilizes a variant of the RoBERTa architecture, optimized for language understanding and generation.

Model Capabilities

Text Filling
Russian Text Processing

Use Cases

Natural Language Processing
Text Filling
Used to fill in missing parts of text, such as sentence completion in examples.
Capable of generating reasonable text completion suggestions.
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