metadata
language:
- ru
tags:
- PyTorch
- Transformers
thumbnail: https://github.com/sberbank-ai/model-zoo
ruT5-base
Model was trained by SberDevices team.
- Task:
text2text generation - Type:
encoder-decoder - Tokenizer:
bpe - Dict size:
32 101 - Num Parameters:
222 M - Training Data Volume
300 GB