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lukespeech
/
whisper-tiny-fo

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use lukespeech/whisper-tiny-fo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lukespeech/whisper-tiny-fo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="lukespeech/whisper-tiny-fo")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("lukespeech/whisper-tiny-fo")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("lukespeech/whisper-tiny-fo")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-fo / runs
24.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
lukespeech's picture
lukespeech
Model save
3f09b67 verified over 2 years ago
  • Mar05_16-45-56_Lukeness2
    Training in progress, step 10 over 2 years ago
  • Mar05_16-51-15_Lukeness2
    Training in progress, step 10 over 2 years ago
  • Mar05_17-04-12_Lukeness2
    Training in progress, step 10 over 2 years ago
  • Mar05_17-05-33_Lukeness2
    Model save over 2 years ago