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gingercake01
/
repo001

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 gingercake01/repo001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gingercake01/repo001 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="gingercake01/repo001")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("gingercake01/repo001")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("gingercake01/repo001", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
repo001 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
gingercake01's picture
gingercake01
End of training
227ea3c verified over 2 years ago
  • Apr08_09-48-13_45c152c21bbb
    Training in progress, step 1000 over 2 years ago
  • Apr08_10-10-14_45c152c21bbb
    Training in progress, step 3000 over 2 years ago
  • Apr08_12-44-45_45c152c21bbb
    End of training over 2 years ago
  • Apr08_12-51-10_45c152c21bbb
    End of training over 2 years ago