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hfnlpmodels
/
emotion_classification_finetune_3

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

Instructions to use hfnlpmodels/emotion_classification_finetune_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hfnlpmodels/emotion_classification_finetune_3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="hfnlpmodels/emotion_classification_finetune_3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("hfnlpmodels/emotion_classification_finetune_3")
    model = AutoModelForAudioClassification.from_pretrained("hfnlpmodels/emotion_classification_finetune_3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
emotion_classification_finetune_3
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
hfnlpmodels's picture
hfnlpmodels
Training in progress, epoch 3
020a4ec verified over 2 years ago
  • runs
    Training in progress, epoch 3 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    2.63 kB
    Training in progress, epoch 1 over 2 years ago
  • model.safetensors
    378 MB
    xet
    Training in progress, epoch 3 over 2 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, epoch 1 over 2 years ago
  • training_args.bin
    4.92 kB
    xet
    Training in progress, epoch 1 over 2 years ago