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waterman3000
/
peft

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

Instructions to use waterman3000/peft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use waterman3000/peft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="waterman3000/peft")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("waterman3000/peft")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("waterman3000/peft")
  • Notebooks
  • Google Colab
  • Kaggle
peft
151 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
waterman3000's picture
waterman3000
Upload WhisperForConditionalGeneration
3ff27b7 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • config.json
    2.27 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • generation_config.json
    3.65 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • model.safetensors
    151 MB
    xet
    Upload WhisperForConditionalGeneration over 1 year ago