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BadBoy17G
/
whisper-tiny-custom-test-final

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Tamil
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use BadBoy17G/whisper-tiny-custom-test-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BadBoy17G/whisper-tiny-custom-test-final with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="BadBoy17G/whisper-tiny-custom-test-final")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("BadBoy17G/whisper-tiny-custom-test-final")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("BadBoy17G/whisper-tiny-custom-test-final")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-custom-test-final / runs
8.07 kB
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  • 1 contributor
History: 1 commit
BadBoy17G's picture
BadBoy17G
End of training
5ae2c40 verified over 2 years ago
  • Jan20_12-36-30_pop-os
    End of training over 2 years ago