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arbml
/
whisper-tiny-ar

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Transformers

    How to use arbml/whisper-tiny-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arbml/whisper-tiny-ar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("arbml/whisper-tiny-ar")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("arbml/whisper-tiny-ar")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-ar / runs
16.9 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Zaid's picture
Zaid
End of training
92dea7b over 3 years ago
  • Nov16_17-15-27_887f8da814cd
    End of training over 3 years ago