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laion
/
vocalburst-locator

Audio Classification
Transformers
English
whisper-segmenter
audio
segmentation
vocal-burst
whisper
speech
sound-event-detection
Model card Files Files and versions
xet
Community

Instructions to use laion/vocalburst-locator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use laion/vocalburst-locator with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="laion/vocalburst-locator")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("laion/vocalburst-locator", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vocalburst-locator
978 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
ChristophSchuhmann's picture
ChristophSchuhmann
Upload README.md with huggingface_hub
ad14ae1 verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    15.4 kB
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  • config.json
    1.35 kB
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  • download_sources.py
    16.5 kB
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  • generate_dataset.py
    20.7 kB
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  • head_only.pt
    5.32 MB
    xet
    Upload head_only.pt with huggingface_hub 4 days ago
  • inference.py
    9.95 kB
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  • model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    972 MB
    xet
    Upload model.pt with huggingface_hub 4 days ago
  • train.py
    32 kB
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