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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
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  • 2 contributors
History: 2 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
e3e4227 verified over 1 year ago
  • .gitattributes
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    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 over 1 year ago
  • preprocessor_config.json
    339 Bytes
    Super-squash branch 'main' using huggingface_hub over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    82.9 MB
    xet
    Super-squash branch 'main' using huggingface_hub over 1 year ago