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oyvindgrutle
/
whisper-medium-amksim

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use oyvindgrutle/whisper-medium-amksim with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="oyvindgrutle/whisper-medium-amksim")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("oyvindgrutle/whisper-medium-amksim")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("oyvindgrutle/whisper-medium-amksim")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-amksim / runs
60.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
oyvindgrutle's picture
oyvindgrutle
Training in progress, step 10
70df730 over 3 years ago
  • Nov08_11-24-40_mmiv-ml-lab-3-aw
    Training in progress, step 10 over 3 years ago
  • Nov08_11-28-33_mmiv-ml-lab-3-aw
    Training in progress, step 10 over 3 years ago
  • Nov08_11-42-44_mmiv-ml-lab-3-aw
    Training in progress, step 10 over 3 years ago
  • Nov08_13-44-55_mmiv-ml-lab-3-aw
    Training in progress, step 10 over 3 years ago
  • Nov08_13-47-43_mmiv-ml-lab-3-aw
    Training in progress, step 10 over 3 years ago
  • Nov08_14-00-32_mmiv-ml-lab-3-aw
    Training in progress, step 10 over 3 years ago