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LightFury9
/
whisper-tiny-DRL

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use LightFury9/whisper-tiny-DRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LightFury9/whisper-tiny-DRL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="LightFury9/whisper-tiny-DRL")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("LightFury9/whisper-tiny-DRL")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("LightFury9/whisper-tiny-DRL")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-DRL / runs
14.8 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
LightFury9's picture
LightFury9
End of training
68d6d8f over 2 years ago
  • Dec18_13-04-59_ce66a5de5a3f
    End of training over 2 years ago