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ClementXie
/
whisper-tiny

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use ClementXie/whisper-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ClementXie/whisper-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ClementXie/whisper-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ClementXie/whisper-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny / runs
38.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
ClementXie's picture
ClementXie
End of training
43fcc5c almost 3 years ago
  • Aug05_18-07-44_ClementXie
    End of training almost 3 years ago
  • Aug05_21-42-23_ClementXie
    Training in progress, step 500 almost 3 years ago
  • Aug05_21-49-30_ClementXie
    End of training almost 3 years ago
  • Aug05_21-54-35_ClementXie
    End of training almost 3 years ago