Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lpcortez
/
audio_consistency

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use lpcortez/audio_consistency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lpcortez/audio_consistency with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="lpcortez/audio_consistency")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("lpcortez/audio_consistency")
    model = AutoModelForAudioClassification.from_pretrained("lpcortez/audio_consistency")
  • Notebooks
  • Google Colab
  • Kaggle
audio_consistency / runs
16.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
lpcortez's picture
lpcortez
End of training
ed25e75 verified almost 2 years ago
  • Jul08_02-47-31_78056358bd0f
    End of training almost 2 years ago
  • Jul21_09-30-08_9d4a70b3229b
    End of training almost 2 years ago