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zeechimp
/
liar-detector

Audio Classification
Transformers
PyTorch
English
liar-detection
signal-processing
anomaly-detection
numpy
audio
time-series
Model card Files Files and versions
xet
Community

Instructions to use zeechimp/liar-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zeechimp/liar-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="zeechimp/liar-detector")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zeechimp/liar-detector", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
liar-detector
64.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
zeechimp's picture
zeechimp
Create liar_detector_v4.py
ce176c1 verified 1 day ago
  • examples
    Create examples/train.py 1 day ago
  • liar_detector
    Create liar_detector/signals.py 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • LICENSE
    11.3 kB
    Create LICENSE 1 day ago
  • README.md
    5.78 kB
    Update README.md 1 day ago
  • liar_detector_v4.py
    24.7 kB
    Create liar_detector_v4.py 1 day ago
  • requirements.txt
    63 Bytes
    Create requirements.txt 1 day ago