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CodingQueen13
/
whisper-tiny-en

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

Instructions to use CodingQueen13/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CodingQueen13/whisper-tiny-en with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="CodingQueen13/whisper-tiny-en")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("CodingQueen13/whisper-tiny-en")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("CodingQueen13/whisper-tiny-en")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-en / runs
23.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
CodingQueen13's picture
CodingQueen13
Training in progress, step 500
37f01ab verified over 1 year ago
  • Sep16_09-57-00_cf3743dda862
    Training in progress, step 500 over 1 year ago
  • Sep16_10-30-11_28415da4d9fa
    Training in progress, step 500 over 1 year ago