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Frorozcol
/
whisper-small-dv

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

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

  • Libraries
  • Transformers

    How to use Frorozcol/whisper-small-dv with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Frorozcol/whisper-small-dv")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Frorozcol/whisper-small-dv")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Frorozcol/whisper-small-dv", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-dv / runs
111 kB
Ctrl+K
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  • 1 contributor
History: 22 commits
Frorozcol's picture
Frorozcol
Training in progress, step 2000
6cc06ce over 2 years ago
  • Dec18_17-46-20_5469194228d3
    Training in progress, step 4000 over 2 years ago
  • Dec18_21-03-11_9a7c0dc44578
    Training in progress, step 4000 over 2 years ago
  • Dec26_15-54-41_94c307c3ee53
    Training in progress, step 500 over 2 years ago
  • Dec26_16-34-29_94c307c3ee53
    Training in progress, step 500 over 2 years ago
  • Dec26_17-06-55_94c307c3ee53
    Training in progress, step 2000 over 2 years ago