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r1char9
/
ruT5-base-pls

Transformers
PyTorch
Russian
t5
text2text-generation
Simplification
Summarization
paraphrase
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use r1char9/ruT5-base-pls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use r1char9/ruT5-base-pls with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("r1char9/ruT5-base-pls")
    model = AutoModelForSeq2SeqLM.from_pretrained("r1char9/ruT5-base-pls")
  • Notebooks
  • Google Colab
  • Kaggle
ruT5-base-pls
Ctrl+K
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  • 1 contributor
History: 17 commits
r1char9's picture
r1char9
Update README.md
411f2a0 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.97 kB
    Update README.md over 2 years ago
  • config.json
    1.54 kB
    Upload T5ForConditionalGeneration over 2 years ago
  • generation_config.json
    142 Bytes
    Upload T5ForConditionalGeneration over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload T5ForConditionalGeneration over 2 years ago
  • special_tokens_map.json
    2.54 kB
    Upload tokenizer over 2 years ago
  • spiece.model
    1 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer.json
    2.64 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    20.5 kB
    Upload tokenizer over 2 years ago
  • train.logs
    413 Bytes
    Create train.logs over 2 years ago