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

  • Log In
  • Sign Up

anderloh
/
testV5

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

Instructions to use anderloh/testV5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anderloh/testV5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="anderloh/testV5")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("anderloh/testV5")
    model = AutoModelForAudioClassification.from_pretrained("anderloh/testV5")
  • Notebooks
  • Google Colab
  • Kaggle
testV5 / runs
35.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
anderloh's picture
anderloh
End of training
90f8ccd verified almost 2 years ago
  • Jun21_14-02-53_ml6.hpc.uio.no
    Training in progress, epoch 0 almost 2 years ago
  • Jun21_14-26-36_ml6.hpc.uio.no
    Training in progress, epoch 0 almost 2 years ago
  • Jun21_14-33-04_ml6.hpc.uio.no
    Training in progress, epoch 0 almost 2 years ago
  • Jun21_14-37-25_ml6.hpc.uio.no
    Training in progress, epoch 0 almost 2 years ago
  • Jun21_14-51-34_ml6.hpc.uio.no
    End of training almost 2 years ago