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ankur-gupta
/
dummy

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
t5
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use ankur-gupta/dummy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ankur-gupta/dummy")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("ankur-gupta/dummy")
    model = AutoModel.from_pretrained("ankur-gupta/dummy")
  • Notebooks
  • Google Colab
  • Kaggle
dummy
488 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
ankur-gupta's picture
ankur-gupta
Upload model
938a441 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    911 Bytes
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  • config.json
    1.45 kB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    242 MB
    xet
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  • special_tokens_map.json
    2.2 kB
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  • spiece.model
    792 kB
    xet
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  • tf_model.h5
    242 MB
    xet
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    2.35 kB
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