ruT5-large / README.md
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metadata
language:
  - ru
tags:
  - PyTorch
  - Transformers
thumbnail: https://github.com/sberbank-ai/model-zoo

ruT5-large

Model was trained by SberDevices.

  • Task: text2text generation
  • Type: encoder-decoder
  • Tokenizer: bpe
  • Dict size: 32 101
  • Num Parameters: 737 M
  • Training Data Volume 300 GB

Authors