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Den4ikAI
/
rut5_base_squad_interpreted

Transformers
PyTorch
Safetensors
Russian
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
2

Instructions to use Den4ikAI/rut5_base_squad_interpreted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Den4ikAI/rut5_base_squad_interpreted with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/rut5_base_squad_interpreted")
    model = AutoModelForSeq2SeqLM.from_pretrained("Den4ikAI/rut5_base_squad_interpreted")
  • Notebooks
  • Google Colab
  • Kaggle
rut5_base_squad_interpreted
1.78 GB
Ctrl+K
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  • 3 contributors
History: 9 commits
Den4ikAI's picture
Den4ikAI
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
09b1b52 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    597 Bytes
    Update README.md (#1) about 3 years ago
  • config.json
    1.55 kB
    Upload 5 files over 3 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model (#2) almost 3 years ago
  • pytorch_model.bin
    892 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload 5 files over 3 years ago
  • spiece.model
    1 MB
    xet
    Upload 5 files over 3 years ago
  • tokenizer_config.json
    2.46 kB
    Upload 5 files over 3 years ago