Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Ammok
/
audio_classification

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

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

  • Libraries
  • Transformers

    How to use Ammok/audio_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Ammok/audio_classification")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Ammok/audio_classification")
    model = AutoModelForAudioClassification.from_pretrained("Ammok/audio_classification")
  • Notebooks
  • Google Colab
  • Kaggle
audio_classification / runs
26.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
Ammok's picture
Ammok
Training in progress, epoch 6
f81347d almost 3 years ago
  • Jul26_14-15-44_559535568dc4
    Training in progress, epoch 0 almost 3 years ago
  • Jul26_14-24-12_559535568dc4
    Training in progress, epoch 1 almost 3 years ago
  • Jul26_14-29-47_559535568dc4
    Training in progress, epoch 6 almost 3 years ago