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jdmartinev
/
CREMA_D_Model

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

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

  • Libraries
  • Transformers

    How to use jdmartinev/CREMA_D_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="jdmartinev/CREMA_D_Model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("jdmartinev/CREMA_D_Model")
    model = AutoModelForAudioClassification.from_pretrained("jdmartinev/CREMA_D_Model")
  • Notebooks
  • Google Colab
  • Kaggle
CREMA_D_Model / runs
356 kB
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  • 1 contributor
History: 32 commits
jdmartinev's picture
jdmartinev
End of training
d05e932 about 3 years ago
  • May03_19-49-31_2957c7b25484
    Training in progress, epoch 0 about 3 years ago
  • May03_20-45-16_2957c7b25484
    End of training about 3 years ago
  • May04_15-10-52_08742147c44e
    Training in progress, epoch 0 about 3 years ago
  • May04_15-26-48_08742147c44e
    End of training about 3 years ago