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MIT-SLS
/
USAD2-XLarge-Plus

Feature Extraction
Transformers
Safetensors
English
usad2
automatic-speech-recognition
audio-classification
audio
speech
music
custom_code
Model card Files Files and versions
xet
Community

Instructions to use MIT-SLS/USAD2-XLarge-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MIT-SLS/USAD2-XLarge-Plus with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="MIT-SLS/USAD2-XLarge-Plus", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MIT-SLS/USAD2-XLarge-Plus", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
USAD2-XLarge-Plus
2.78 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
vectominist's picture
vectominist
Add USAD2 model
6064eb5 verified about 12 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 12 hours ago
  • README.md
    7.57 kB
    Add USAD2 model about 12 hours ago
  • __init__.py
    0 Bytes
    Add USAD2 model about 12 hours ago
  • config.json
    1.06 kB
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  • configuration_usad2.py
    2.77 kB
    Add USAD2 model about 12 hours ago
  • model.safetensors
    2.78 GB
    xet
    Add USAD2 model about 12 hours ago
  • modeling_usad2.py
    1.54 kB
    Add USAD2 model about 12 hours ago
  • usad_model.py
    12.6 kB
    Add USAD2 model about 12 hours ago
  • usad_modules.py
    36.8 kB
    Add USAD2 model about 12 hours ago