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theWitcher
/
new-dummy-model

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
distilbert
Model card Files Files and versions
xet
Community
1

Instructions to use theWitcher/new-dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use theWitcher/new-dummy-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="theWitcher/new-dummy-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("theWitcher/new-dummy-model")
    model = AutoModelForSequenceClassification.from_pretrained("theWitcher/new-dummy-model")
  • Notebooks
  • Google Colab
  • Kaggle
new-dummy-model
536 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
theWitcher's picture
theWitcher
Upload 8 files
682ffcf verified about 2 years ago
  • .gitattributes
    706 Bytes
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  • README.md
    39 Bytes
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  • config.json
    660 Bytes
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  • new-file.txt
    19 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    268 MB
    xet
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  • tf_model.h5
    268 MB
    xet
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  • tokenizer_config.json
    48 Bytes
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  • vocab.txt
    262 kB
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