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TisNam
/
emo_model

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

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

  • Libraries
  • Transformers

    How to use TisNam/emo_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="TisNam/emo_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("TisNam/emo_model")
    model = AutoModelForAudioClassification.from_pretrained("TisNam/emo_model")
  • Notebooks
  • Google Colab
  • Kaggle
emo_model / runs
19.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
TisNam's picture
TisNam
Training in progress, epoch 0
94c624a verified about 2 years ago
  • Apr06_02-48-00_6b6d0536151c
    Training in progress, epoch 0 about 2 years ago
  • Apr06_02-51-28_6b6d0536151c
    Training in progress, epoch 0 about 2 years ago