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NbAiLab
/
wav2vec2-xlsr-300m-norwegian

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use NbAiLab/wav2vec2-xlsr-300m-norwegian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/wav2vec2-xlsr-300m-norwegian with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-xlsr-300m-norwegian")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-xlsr-300m-norwegian")
    model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-xlsr-300m-norwegian")
  • Notebooks
  • Google Colab
  • Kaggle
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Automatic Speech Recognition
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