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halcyonzhou
/
whisper-base

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

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

  • Libraries
  • Transformers

    How to use halcyonzhou/whisper-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="halcyonzhou/whisper-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("halcyonzhou/whisper-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("halcyonzhou/whisper-base")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base / runs
33.8 kB
Ctrl+K
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  • 1 contributor
History: 39 commits
halcyonzhou's picture
halcyonzhou
Training in progress, step 380
ecb1459 verified 9 months ago
  • Aug26_15-31-58_zjh
    Training in progress, step 20 9 months ago
  • Aug26_15-37-31_zjh
    Training in progress, step 400 9 months ago
  • Aug26_16-54-42_zjh
    Training in progress, step 380 9 months ago