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sgugger
/
funnel-random-tiny

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

Instructions to use sgugger/funnel-random-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sgugger/funnel-random-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sgugger/funnel-random-tiny")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sgugger/funnel-random-tiny")
    model = AutoModel.from_pretrained("sgugger/funnel-random-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
funnel-random-tiny
800 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
785dcfd verified about 2 years ago
  • .gitattributes
    345 Bytes
    initial commit over 5 years ago
  • config.json
    659 Bytes
    Update config.json over 5 years ago
  • model.safetensors
    216 kB
    Adding `safetensors` variant of this model about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    250 kB
    xet
    Update pytorch_model.bin over 5 years ago
  • tf_model.h5
    333 kB
    xet
    Add TF model about 5 years ago