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VovaK13
/
whisper-small-even

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

Instructions to use VovaK13/whisper-small-even with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use VovaK13/whisper-small-even with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="VovaK13/whisper-small-even")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("VovaK13/whisper-small-even")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("VovaK13/whisper-small-even", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-even / runs
29.6 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
VovaK13's picture
VovaK13
End of training
6f2a080 verified about 2 years ago
  • Jun14_13-01-28_68054a77a5e2
    End of training about 2 years ago