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oddadmix
/
whisper-small-arabic-dialectal

Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
arabic
dialectal-arabic
asr
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use oddadmix/whisper-small-arabic-dialectal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="oddadmix/whisper-small-arabic-dialectal")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("oddadmix/whisper-small-arabic-dialectal")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("oddadmix/whisper-small-arabic-dialectal")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-arabic-dialectal
971 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
oddadmix's picture
oddadmix
Update ASR comparison table: Cohere full-FT 0.357 + Qwen-1.7B (training)
2c7d170 verified 1 day ago
  • .gitattributes
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    initial commit 3 days ago
  • FINETUNE.md
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  • README.md
    6.76 kB
    Update ASR comparison table: Cohere full-FT 0.357 + Qwen-1.7B (training) 1 day ago
  • config.json
    1.25 kB
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  • evaluate_model.py
    2.78 kB
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  • generation_config.json
    4.59 kB
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  • model.safetensors
    967 MB
    xet
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  • normalize.py
    4.38 kB
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  • processor_config.json
    409 Bytes
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  • requirements.txt
    229 Bytes
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.12 kB
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  • train.py
    12.4 kB
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