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Ammok
/
audio_classification_1

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

Instructions to use Ammok/audio_classification_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ammok/audio_classification_1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Ammok/audio_classification_1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Ammok/audio_classification_1")
    model = AutoModelForAudioClassification.from_pretrained("Ammok/audio_classification_1")
  • Notebooks
  • Google Colab
  • Kaggle
audio_classification_1
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Ammok's picture
Ammok
Training in progress, epoch 0
af14d57 almost 3 years ago
  • runs
    Training in progress, epoch 0 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • config.json
    2.79 kB
    Training in progress, epoch 0 almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, epoch 0 almost 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    Training in progress, epoch 0 almost 3 years ago
  • training_args.bin
    3.96 kB
    xet
    Training in progress, epoch 0 almost 3 years ago