ai-forever / ruT5-large

huggingface.co
Total runs: 1.1K
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Model's Last Updated: December 28 2023
text-generation

Introduction of ruT5-large

Model Details of ruT5-large

ruT5-large

The model architecture design, pretraining, and evaluation are documented in our preprint: A Family of Pretrained Transformer Language Models for Russian .

The model was trained by the SberDevices .

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

Authors

Cite us

@misc{zmitrovich2023family,
      title={A Family of Pretrained Transformer Language Models for Russian}, 
      author={Dmitry Zmitrovich and Alexander Abramov and Andrey Kalmykov and Maria Tikhonova and Ekaterina Taktasheva and Danil Astafurov and Mark Baushenko and Artem Snegirev and Tatiana Shavrina and Sergey Markov and Vladislav Mikhailov and Alena Fenogenova},
      year={2023},
      eprint={2309.10931},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

Runs of ai-forever ruT5-large on huggingface.co

1.1K
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3-day runs
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ruT5-large install

ruT5-large is an open source model from GitHub that offers a free installation service, and any user can find ruT5-large on GitHub to install. At the same time, huggingface.co provides the effect of ruT5-large install, users can directly use ruT5-large installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ruT5-large install url in huggingface.co:

https://huggingface.co/ai-forever/ruT5-large

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