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PrachiPatel
/
AudioEmoDetect_v1

Audio Classification
Transformers
PyTorch
hubert
Model card Files Files and versions
xet
Community
2

Instructions to use PrachiPatel/AudioEmoDetect_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PrachiPatel/AudioEmoDetect_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="PrachiPatel/AudioEmoDetect_v1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("PrachiPatel/AudioEmoDetect_v1")
    model = AutoModelForAudioClassification.from_pretrained("PrachiPatel/AudioEmoDetect_v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
AudioEmoDetect_v1
493 MB
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  • 1 contributor
History: 5 commits
steveway's picture
steveway
Update Labels
e704b6a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    86 Bytes
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  • config.json
    1.88 kB
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  • optimizer.pt
    115 MB
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  • preprocessor_config.json
    213 Bytes
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  • pytorch_model.bin
    378 MB
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt
    627 Bytes
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  • trainer_state.json
    19 kB
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  • training_args.bin
    3.58 kB
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