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caoldr
/
whisper-medium-da

Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Danish
whisper
Generated from Trainer
hf-asr-leaderboard
whisper-event
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use caoldr/whisper-medium-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use caoldr/whisper-medium-da with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="caoldr/whisper-medium-da")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("caoldr/whisper-medium-da")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("caoldr/whisper-medium-da")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-da / runs
76.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
caoldr's picture
caoldr
adding missing files
9eb06e6 over 2 years ago
  • Dec18_19-31-26_150-136-92-72
    adding missing files over 2 years ago