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inkoziev
/
t5_interpreter

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

Instructions to use inkoziev/t5_interpreter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use inkoziev/t5_interpreter with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("inkoziev/t5_interpreter")
    model = AutoModelForSeq2SeqLM.from_pretrained("inkoziev/t5_interpreter")
  • Notebooks
  • Google Colab
  • Kaggle
t5_interpreter
259 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
koziev ilya
model update after dataset extension
72efb9a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    905 Bytes
    adding usage example over 3 years ago
  • config.json
    822 Bytes
    first release of t5-based model for dialog messages interpretation over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    259 MB
    xet
    model update after dataset extension over 3 years ago
  • special_tokens_map.json
    2.2 kB
    first release of t5-based model for dialog messages interpretation over 3 years ago
  • spiece.model
    640 kB
    xet
    first release of t5-based model for dialog messages interpretation over 3 years ago
  • tokenizer_config.json
    2.54 kB
    first release of t5-based model for dialog messages interpretation over 3 years ago