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mohammed
/
arabic-speech-recognition

Automatic Speech Recognition
Transformers
PyTorch
JAX
Arabic
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use mohammed/arabic-speech-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mohammed/arabic-speech-recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="mohammed/arabic-speech-recognition")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("mohammed/arabic-speech-recognition")
    model = AutoModelForCTC.from_pretrained("mohammed/arabic-speech-recognition")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Librarian Bot: Add base_model information to model

#2 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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