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voidful
/
hubert-tiny

Feature Extraction
Transformers
PyTorch
hubert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use voidful/hubert-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="voidful/hubert-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("voidful/hubert-tiny")
    model = AutoModel.from_pretrained("voidful/hubert-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-tiny
131 MB
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  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
9003743 verified about 1 year ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.42 kB
    increase model about 3 years ago
  • model.safetensors
    65.6 MB
    xet
    Adding `safetensors` variant of this model about 1 year ago
  • preprocessor_config.json
    213 Bytes
    init commit about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    65.6 MB
    xet
    increase model about 3 years ago