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mrfakename
/
styletts2-detector

Audio Classification
Transformers
Safetensors
English
whisper
audio
tts
Model card Files Files and versions
xet
Community
1

Instructions to use mrfakename/styletts2-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mrfakename/styletts2-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="mrfakename/styletts2-detector")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("mrfakename/styletts2-detector")
    model = AutoModelForAudioClassification.from_pretrained("mrfakename/styletts2-detector")
  • Notebooks
  • Google Colab
  • Kaggle
styletts2-detector
82.9 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
mrfakename's picture
mrfakename
Remove non-Safetensors variant
a84837f verified over 1 year ago
  • .gitattributes
    1.52 kB
    Super-squash branch 'main' using huggingface_hub over 1 year ago
  • README.md
    2.81 kB
    Super-squash branch 'main' using huggingface_hub over 1 year ago
  • config.json
    2.42 kB
    Super-squash branch 'main' using huggingface_hub over 1 year ago
  • model.safetensors
    82.9 MB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • preprocessor_config.json
    339 Bytes
    Super-squash branch 'main' using huggingface_hub over 1 year ago