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unabob
/
test-speech-commands

Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2-conformer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use unabob/test-speech-commands with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use unabob/test-speech-commands with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="unabob/test-speech-commands")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("unabob/test-speech-commands")
    model = AutoModelForAudioClassification.from_pretrained("unabob/test-speech-commands")
  • Notebooks
  • Google Colab
  • Kaggle
test-speech-commands
4.95 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
c1e53d6 verified over 1 year ago
  • runs
    Training in progress, epoch 9 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 about 3 years ago
  • config.json
    3.63 kB
    Training in progress, epoch 0 about 3 years ago
  • model.safetensors
    2.48 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    256 Bytes
    Training in progress, epoch 0 about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    2.48 GB
    xet
    Training in progress, epoch 9 about 3 years ago
  • training_args.bin
    3.96 kB
    xet
    Training in progress, epoch 0 about 3 years ago