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webnlg
/
ru-mt0base

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use webnlg/ru-mt0base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use webnlg/ru-mt0base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("webnlg/ru-mt0base")
    model = AutoModelForSeq2SeqLM.from_pretrained("webnlg/ru-mt0base")
  • Notebooks
  • Google Colab
  • Kaggle
ru-mt0base
2.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
liamcripwell's picture
liamcripwell
Update config.json
a2f324c over 2 years ago
  • .gitattributes
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  • added_tokens.json
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  • config.json
    825 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.33 GB
    xet
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  • special_tokens_map.json
    65 Bytes
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  • spiece.model
    4.31 MB
    xet
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  • tokenizer.json
    16.3 MB
    xet
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  • tokenizer_config.json
    434 Bytes
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