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NbAiLab
/
whisper-small-nob

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Norwegian
whisper
whisper-event
norwegian
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use NbAiLab/whisper-small-nob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/whisper-small-nob with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-small-nob")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("NbAiLab/whisper-small-nob")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-small-nob")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-nob / runs
385 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 62 commits
pere's picture
pere
Training in progress, step 52000
e9087ed over 3 years ago
  • Dec15_13-20-51_dante
    Training in progress, step 1000 over 3 years ago
  • Dec15_19-44-15_dante
    recover over 3 years ago
  • Dec23_23-40-14_dante
    Training in progress, step 52000 over 3 years ago