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voidful
/
byt5_base_v3

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

Instructions to use voidful/byt5_base_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/byt5_base_v3 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("voidful/byt5_base_v3")
    model = AutoModelForSeq2SeqLM.from_pretrained("voidful/byt5_base_v3")
  • Notebooks
  • Google Colab
  • Kaggle
byt5_base_v3
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  • 1 contributor
History: 2 commits
voidful's picture
voidful
init commit
5eb1f2a about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    831 Bytes
    init commit about 3 years ago
  • detail.json
    120 Bytes
    init commit about 3 years ago
  • generation_config.json
    142 Bytes
    init commit about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    2.33 GB
    xet
    init commit about 3 years ago