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RASMUS
/
WhisperLargeFinnishV3

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

Instructions to use RASMUS/WhisperLargeFinnishV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RASMUS/WhisperLargeFinnishV3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RASMUS/WhisperLargeFinnishV3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("RASMUS/WhisperLargeFinnishV3")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("RASMUS/WhisperLargeFinnishV3")
  • Notebooks
  • Google Colab
  • Kaggle
WhisperLargeFinnishV3 / wandb
57.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 25 commits
RASMUS's picture
RASMUS
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