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Ahmeng
/
audio_classification

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

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

  • Libraries
  • Transformers

    How to use Ahmeng/audio_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Ahmeng/audio_classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Ahmeng/audio_classification")
    model = AutoModelForAudioClassification.from_pretrained("Ahmeng/audio_classification")
  • Notebooks
  • Google Colab
  • Kaggle
audio_classification / runs
45.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Ahmeng's picture
Ahmeng
model-test-v1
eb89e39 over 2 years ago
  • Oct05_18-27-17_DESKTOP-P0N225N
    Training in progress, epoch 1 over 2 years ago
  • Oct05_18-28-03_DESKTOP-P0N225N
    Training in progress, epoch 1 over 2 years ago
  • Oct06_18-32-48_DESKTOP-P0N225N
    Training in progress, epoch 1 over 2 years ago
  • Oct06_18-37-46_DESKTOP-P0N225N
    Training in progress, epoch 1 over 2 years ago
  • Oct06_18-42-20_DESKTOP-P0N225N
    Training in progress, epoch 1 over 2 years ago
  • Oct06_18-42-31_DESKTOP-P0N225N
    Training in progress, epoch 1 over 2 years ago
  • Oct06_18-48-57_DESKTOP-P0N225N
    model-test-v1 over 2 years ago