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Maciel
/
T5_Mask_Completion

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

Instructions to use Maciel/T5_Mask_Completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Maciel/T5_Mask_Completion with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Maciel/T5_Mask_Completion")
    model = AutoModelForSeq2SeqLM.from_pretrained("Maciel/T5_Mask_Completion")
  • Notebooks
  • Google Colab
  • Kaggle
T5_Mask_Completion
993 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
Maciel's picture
Maciel
Update README.md
af8e0b5 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.5 kB
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  • added_tokens.json
    17 Bytes
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  • config.json
    706 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    990 MB
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  • rng_state.pth

    Detected Pickle imports (7)

    • "numpy.ndarray",
    • "collections.OrderedDict",
    • "numpy.dtype",
    • "_codecs.encode",
    • "torch._utils._rebuild_tensor_v2",
    • "numpy.core.multiarray._reconstruct",
    • "torch.ByteStorage"

    How to fix it?

    15.7 kB
    xet
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  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    725 kB
    xet
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  • tokenizer.json
    1.32 MB
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  • tokenizer_config.json
    1.94 kB
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