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stackintel
/
whisper-small-ro

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

Instructions to use stackintel/whisper-small-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use stackintel/whisper-small-ro with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="stackintel/whisper-small-ro")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("stackintel/whisper-small-ro")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("stackintel/whisper-small-ro")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-ro / runs
46.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
stackintel's picture
stackintel
Training in progress, step 4000
bc6de6c about 3 years ago
  • Mar10_13-50-55_imsaiultra2
    Training in progress, step 1000 about 3 years ago
  • Mar10_14-05-49_imsaiultra2
    Training in progress, step 4000 about 3 years ago