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Gwenn-LR
/
whisper-tiny

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

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

  • Libraries
  • Transformers

    How to use Gwenn-LR/whisper-tiny with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Gwenn-LR/whisper-tiny")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Gwenn-LR/whisper-tiny")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Gwenn-LR/whisper-tiny")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny / runs
97 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 31 commits
Gwenn-LR's picture
Gwenn-LR
End of training
7695f15 verified over 1 year ago
  • Jan12_20-21-13_Dirty-Tower
    Training in progress, step 400 over 1 year ago
  • Jan12_20-32-48_Dirty-Tower
    Training in progress, step 400 over 1 year ago
  • Jan12_20-58-47_Dirty-Tower
    Training in progress, step 400 over 1 year ago
  • Jan12_21-17-12_Dirty-Tower
    Training in progress, step 400 over 1 year ago
  • Jan27_16-00-07_Dirty-Tower
    Training in progress, step 4000 over 1 year ago
  • Jan29_21-14-05_Dirty-Tower
    End of training over 1 year ago
  • Jan29_21-39-55_Dirty-Tower
    End of training over 1 year ago