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

omarelsayeed
/
DYS_FIXED

Audio Classification
Transformers
Safetensors
wav2vec2
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use omarelsayeed/DYS_FIXED with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="omarelsayeed/DYS_FIXED")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("omarelsayeed/DYS_FIXED")
    model = AutoModelForAudioClassification.from_pretrained("omarelsayeed/DYS_FIXED")
  • Notebooks
  • Google Colab
  • Kaggle
DYS_FIXED
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
omarelsayeed's picture
omarelsayeed
Upload feature extractor
4a15b6e over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    2.26 kB
    Upload Wav2Vec2ForSequenceClassification over 2 years ago
  • model.safetensors
    378 MB
    xet
    Upload Wav2Vec2ForSequenceClassification over 2 years ago
  • preprocessor_config.json
    215 Bytes
    Upload feature extractor over 2 years ago