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Umer4
/
UrduAudio2Text

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Umer4/UrduAudio2Text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Umer4/UrduAudio2Text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Umer4/UrduAudio2Text")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Umer4/UrduAudio2Text")
    model = AutoModelForCTC.from_pretrained("Umer4/UrduAudio2Text", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
UrduAudio2Text / runs
19.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Umer4's picture
Umer4
End of training
b7dd508 about 4 years ago
  • Jun02_18-10-22_f339bf356e74
    End of training about 4 years ago
  • Jun04_15-08-41_477433e2e88d
    End of training about 4 years ago