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AdaCodruta
/
whisper-medium-ro_common_voice

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 AdaCodruta/whisper-medium-ro_common_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AdaCodruta/whisper-medium-ro_common_voice with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="AdaCodruta/whisper-medium-ro_common_voice")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("AdaCodruta/whisper-medium-ro_common_voice")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("AdaCodruta/whisper-medium-ro_common_voice")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-ro_common_voice / runs
47.7 kB
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  • 1 contributor
History: 2 commits
AdaCodruta's picture
AdaCodruta
Training in progress, step 1000
79fa736 verified over 1 year ago
  • Dec09_10-16-55_S4-AN-2
    Training in progress, step 500 over 1 year ago
  • Dec09_11-07-35_S4-AN-2
    Training in progress, step 500 over 1 year ago
  • Dec09_11-08-05_S4-AN-2
    Training in progress, step 500 over 1 year ago
  • Dec09_11-52-38_S4-AN-2
    Training in progress, step 500 over 1 year ago
  • Dec09_14-50-57_S4-AN-2
    Training in progress, step 1000 over 1 year ago