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arbml
/
whisper-small-ar

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="arbml/whisper-small-ar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("arbml/whisper-small-ar")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("arbml/whisper-small-ar")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened over 1 year ago by
SFconvertbot

Librarian Bot: Add base_model information to model

#2 opened over 2 years ago by
librarian-bot

Adding ONNX file of this model

❤️ 1
#1 opened about 3 years ago by
abdullah
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