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PuristanLabs1
/
urdu-turn-v2

Audio Classification
Transformers
Urdu
whisper
voice-activity-detection
turn-detection
urdu
real-time
pipecat
Model card Files Files and versions
xet
Community

Instructions to use PuristanLabs1/urdu-turn-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PuristanLabs1/urdu-turn-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="PuristanLabs1/urdu-turn-v2")
    # Load model directly
    from transformers import AutoProcessor, WhisperTurnDetector
    
    processor = AutoProcessor.from_pretrained("PuristanLabs1/urdu-turn-v2")
    model = WhisperTurnDetector.from_pretrained("PuristanLabs1/urdu-turn-v2")
  • Notebooks
  • Google Colab
  • Kaggle
urdu-turn-v2
152 MB
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  • 1 contributor
History: 5 commits
PuristanLabs1's picture
PuristanLabs1
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  • .gitattributes
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  • README.md
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  • config.json
    250 Bytes
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  • handler.py
    1.33 kB
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  • model.py
    2.17 kB
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  • preprocessor_config.json
    371 Bytes
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  • whisper_turn_model.pth

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    152 MB
    xet
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