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apzl
/
whisper-small-ml

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Malayalam
whisper
whisper-event
common-voice
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use apzl/whisper-small-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use apzl/whisper-small-ml with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="apzl/whisper-small-ml")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("apzl/whisper-small-ml")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("apzl/whisper-small-ml", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-ml / runs
94 kB
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  • 1 contributor
History: 1 commit
apzl's picture
apzl
initial run common-voice
9319acf almost 4 years ago
  • Dec12_13-15-23_08fc19b3633f
    initial run common-voice almost 4 years ago
  • Dec12_13-16-03_08fc19b3633f
    initial run common-voice almost 4 years ago
  • Dec12_13-16-23_08fc19b3633f
    initial run common-voice almost 4 years ago
  • Dec12_13-22-06_08fc19b3633f
    initial run common-voice almost 4 years ago