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ai-forever
/
ruT5-base

Transformers
PyTorch
Russian
t5
text2text-generation
PyTorch
Transformers
text-generation-inference
Model card Files Files and versions
xet
Community
6

Instructions to use ai-forever/ruT5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ai-forever/ruT5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ai-forever/ruT5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("ai-forever/ruT5-base")
  • Notebooks
  • Google Colab
  • Kaggle
ruT5-base
1.79 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
1fdf23c about 3 years ago
  • .gitattributes
    744 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • README.md
    344 Bytes
    add model card over 4 years ago
  • config.json
    1.4 kB
    fix config almost 5 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • old_spiece.model
    1 MB
    xet
    fix vocab ЩЪЁ over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    892 MB
    xet
    model_ruT5_base almost 5 years ago
  • spiece.model
    1 MB
    xet
    fix vocab ЩЪЁ over 3 years ago