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Shadowmachete
/
asr_training_small

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

Instructions to use Shadowmachete/asr_training_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shadowmachete/asr_training_small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Shadowmachete/asr_training_small")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Shadowmachete/asr_training_small")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Shadowmachete/asr_training_small")
  • Notebooks
  • Google Colab
  • Kaggle
asr_training_small / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
Shadowmachete's picture
Shadowmachete
End of training
934b13d verified about 2 years ago
  • May15_11-52-32_LAPTOP-RETT3JD7
    Training in progress, epoch 1 about 2 years ago
  • May15_11-53-29_LAPTOP-RETT3JD7
    Training in progress, epoch 4 about 2 years ago
  • May15_18-29-58_LAPTOP-RETT3JD7
    Training in progress, epoch 3 about 2 years ago
  • May26_14-15-58_LAPTOP-RETT3JD7
    Training in progress, step 200 about 2 years ago
  • May26_15-36-19_LAPTOP-RETT3JD7
    End of training about 2 years ago
  • May26_16-14-26_LAPTOP-RETT3JD7
    End of training about 2 years ago