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vandung
/
t5-vi

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

Instructions to use vandung/t5-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vandung/t5-vi with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("vandung/t5-vi")
    model = AutoModelForSeq2SeqLM.from_pretrained("vandung/t5-vi")
  • Notebooks
  • Google Colab
  • Kaggle
t5-vi
905 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
vandung's picture
vandung
Commit
3584d88 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    741 Bytes
    Commit almost 3 years ago
  • generation_config.json
    142 Bytes
    Commit almost 3 years ago
  • model_args.json
    2.61 kB
    Commit almost 3 years ago
  • pytorch_model.bin
    904 MB
    xet
    Commit almost 3 years ago
  • special_tokens_map.json
    2.12 kB
    Commit almost 3 years ago
  • spiece.model
    820 kB
    xet
    Commit almost 3 years ago
  • tokenizer_config.json
    2.31 kB
    Commit almost 3 years ago
  • training_args.bin

    Detected Pickle imports (1)

    • "simpletransformers.config.model_args.T5Args"

    How to fix it?

    3.2 kB
    xet
    Commit almost 3 years ago