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mfidabel
/
whisper-tiny-gn

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

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

  • Libraries
  • Transformers

    How to use mfidabel/whisper-tiny-gn with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mfidabel/whisper-tiny-gn")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("mfidabel/whisper-tiny-gn")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("mfidabel/whisper-tiny-gn")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-gn
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  • 1 contributor
History: 2 commits
mfidabel's picture
mfidabel
Upload WhisperForConditionalGeneration
b0c6cc2 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
    3.74 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • model.safetensors
    151 MB
    xet
    Upload WhisperForConditionalGeneration over 1 year ago