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Amik-ML
/
model_name

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

Instructions to use Amik-ML/model_name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Amik-ML/model_name with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Amik-ML/model_name")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Amik-ML/model_name")
    model = AutoModelForAudioClassification.from_pretrained("Amik-ML/model_name")
  • Notebooks
  • Google Colab
  • Kaggle
model_name / runs
29.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Amik-ML's picture
Amik-ML
Training in progress, epoch 0
97e2434 over 2 years ago
  • Dec21_06-14-29_7108d14f67ac
    Training in progress, epoch 0 over 2 years ago
  • Dec21_06-19-56_7108d14f67ac
    Training in progress, epoch 0 over 2 years ago
  • Dec21_06-46-24_7108d14f67ac
    Training in progress, epoch 0 over 2 years ago
  • Dec21_13-05-55_19cec2eb4194
    Training in progress, epoch 0 over 2 years ago