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cdactvm
/
whisper-small-as

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use cdactvm/whisper-small-as with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cdactvm/whisper-small-as")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("cdactvm/whisper-small-as")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("cdactvm/whisper-small-as")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-as / runs
184 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
cdactvm's picture
cdactvm
Training in progress, step 6000
2204961 verified about 2 years ago
  • Jul09_23-14-28_GPU
    Training in progress, step 1000 about 2 years ago
  • Jul09_23-18-38_GPU
    Training in progress, step 4000 about 2 years ago
  • Jul10_14-51-19_GPU
    Training in progress, step 8000 about 2 years ago
  • Jul10_20-55-22_GPU
    Training in progress, step 6000 about 2 years ago