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zeechimp
/
liar-detector-v5

Audio Classification
Transformers
Safetensors
PyTorch
English
liar-detection
signal-processing
anomaly-detection
self-supervised
time-series
multi-head
calibration
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use zeechimp/liar-detector-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zeechimp/liar-detector-v5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="zeechimp/liar-detector-v5")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("zeechimp/liar-detector-v5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
liar-detector-v5
135 kB
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  • 1 contributor
History: 8 commits
zeechimp's picture
zeechimp
Create requirements.txt
9a5d73d verified 22 days ago
  • liar-detector-v5
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • example_usage.py
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  • liar-detector-v5.py
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  • requirements.txt
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