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DragonLine
/
train03

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

Instructions to use DragonLine/train03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DragonLine/train03 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="DragonLine/train03")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("DragonLine/train03")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("DragonLine/train03")
  • Notebooks
  • Google Colab
  • Kaggle
train03 / runs
58.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
DragonLine's picture
DragonLine
End of training
df49f17 over 2 years ago
  • Dec15_11-43-15_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-44-39_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-45-34_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-48-26_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-49-57_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-51-18_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-53-25_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-55-43_user
    Training in progress, step 200 over 2 years ago
  • Dec15_11-57-09_user
    Training in progress, step 200 over 2 years ago
  • Dec15_12-00-18_user
    End of training over 2 years ago