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arsonor
/
whisper-small-dv

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arsonor/whisper-small-dv")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("arsonor/whisper-small-dv")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("arsonor/whisper-small-dv")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-dv / runs
38.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
arsonor's picture
arsonor
Training in progress, step 500
2771c7d verified 10 months ago
  • Aug18_14-10-22_d9a7e34af9d7
    Training in progress, step 500 10 months ago
  • Aug18_14-12-50_d9a7e34af9d7
    Training in progress, step 500 10 months ago
  • Aug18_14-15-50_d9a7e34af9d7
    Training in progress, step 500 10 months ago
  • Aug18_14-41-48_d9a7e34af9d7
    Training in progress, step 500 10 months ago