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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

depos
/
audio_cls

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use depos/audio_cls with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="depos/audio_cls")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("depos/audio_cls")
    model = AutoModelForAudioClassification.from_pretrained("depos/audio_cls")
  • Notebooks
  • Google Colab
  • Kaggle
audio_cls / runs
24.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
depos's picture
depos
End of training
da45e3c verified 10 months ago
  • Sep22_03-16-31_206d7ebafda7
    End of training 10 months ago
  • Sep22_03-18-20_206d7ebafda7
    End of training 10 months ago
  • Sep22_03-20-12_206d7ebafda7
    End of training 10 months ago
  • Sep22_05-30-45_246fc490ce96
    End of training 10 months ago