ruT5-base

Model was trained by SberDevices.

• Task: text2text generation
• Type: encoder-decoder
• Tokenizer: bpe
• Dict size: 32 101
• Num Parameters: 222 M
• Training Data Volume 300 GB

Authors

• NLP core team RnD Telegram channel:
  • Dmitry Zmitrovich