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Yulle
/
WhisperCheckpoints2

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

Instructions to use Yulle/WhisperCheckpoints2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Yulle/WhisperCheckpoints2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Yulle/WhisperCheckpoints2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Yulle/WhisperCheckpoints2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Yulle/WhisperCheckpoints2")
  • Notebooks
  • Google Colab
  • Kaggle
WhisperCheckpoints2 / runs
75.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Yulle's picture
Yulle
Training in progress, step 1000
2c86e57 over 2 years ago
  • Dec02_13-35-48_c56b958829cb
    Training in progress, step 1000 over 2 years ago
  • Dec02_15-21-46_c56b958829cb
    Training in progress, step 1000 over 2 years ago
  • Dec02_15-23-03_c56b958829cb
    Training in progress, step 1000 over 2 years ago
  • Dec02_16-14-35_c56b958829cb
    Training in progress, step 1000 over 2 years ago
  • Dec02_17-28-33_49e0f9b735a7
    Training in progress, step 1000 over 2 years ago
  • Dec02_19-39-55_49e0f9b735a7
    Training in progress, step 1000 over 2 years ago
  • Dec02_21-42-55_49e0f9b735a7
    Training in progress, step 1000 over 2 years ago