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Yulle
/
WhisperCheckpoints3

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

Instructions to use Yulle/WhisperCheckpoints3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Yulle/WhisperCheckpoints3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Yulle/WhisperCheckpoints3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Yulle/WhisperCheckpoints3")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Yulle/WhisperCheckpoints3")
  • Notebooks
  • Google Colab
  • Kaggle
WhisperCheckpoints3 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Yulle's picture
Yulle
Training in progress, step 3000
9505fa3 over 2 years ago
  • Dec03_01-00-00_1035df9a6b19
    Training in progress, step 500 over 2 years ago
  • Dec03_11-30-41_7d20ed85d095
    Training in progress, step 1000 over 2 years ago
  • Dec03_13-56-51_0ec99547f490
    Training in progress, step 2500 over 2 years ago
  • Dec03_18-52-06_f7173cb2d76e
    Training in progress, step 3000 over 2 years ago