Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • 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

JasHugF
/
whisper-tiny-zero-shot

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

Instructions to use JasHugF/whisper-tiny-zero-shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JasHugF/whisper-tiny-zero-shot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="JasHugF/whisper-tiny-zero-shot")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("JasHugF/whisper-tiny-zero-shot")
    model = AutoModelForAudioClassification.from_pretrained("JasHugF/whisper-tiny-zero-shot", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-zero-shot / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
JasHugF's picture
JasHugF
Training in progress, epoch 1
495d97e verified over 1 year ago
  • Mar02_16-19-28_fa2976aacf10
    Training in progress, epoch 1 over 1 year ago