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washeed
/
Tag-lish_Audio_Transcriber

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 washeed/Tag-lish_Audio_Transcriber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use washeed/Tag-lish_Audio_Transcriber with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="washeed/Tag-lish_Audio_Transcriber")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("washeed/Tag-lish_Audio_Transcriber")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("washeed/Tag-lish_Audio_Transcriber")
  • Notebooks
  • Google Colab
  • Kaggle
Tag-lish_Audio_Transcriber / runs
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  • 1 contributor
History: 1 commit
washeed's picture
washeed
End of training
b2f87c8 verified about 2 years ago
  • Apr11_13-36-44_50555c72e541
    End of training about 2 years ago