ruSciBERT / README.md
sberbank-ai
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metadata
language:
  - ru
tags:
  - Transformers
  - bert
pipeline_tag: fill-mask
thumbnail: https://github.com/sberbank-ai/model-zoo
license: apache-2.0
widget:
  - text: Применение метода <mask> векторов для решения задач классификации

ruSciBERT

Model was trained by Sber AI team and MLSA Lab of Institute for AI, MSU. If you use our model for your project, please tell us about it (nikgerasimenko@gmail.com).

Presentation at the AI Journey 2022

  • Task: mask filling
  • Type: encoder
  • Tokenizer: bpe
  • Dict size: 50265
  • Num Parameters: 123 M
  • Training Data Volume: 6.5 GB