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hts98
/
emotional_model

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

Instructions to use hts98/emotional_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hts98/emotional_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="hts98/emotional_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("hts98/emotional_model")
    model = AutoModelForAudioClassification.from_pretrained("hts98/emotional_model")
  • Notebooks
  • Google Colab
  • Kaggle
emotional_model
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
hts98's picture
hts98
Training in progress, epoch 1
76b953e almost 3 years ago
  • runs
    Training in progress, epoch 1 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • config.json
    2.22 kB
    Training in progress, epoch 1 almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, epoch 1 almost 3 years ago
  • pytorch_model.bin
    378 MB
    LFS
    Training in progress, epoch 1 almost 3 years ago
  • training_args.bin
    3.9 kB
    xet
    Training in progress, epoch 1 almost 3 years ago