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Professor
/
whisper-small-afrispeech

Automatic Speech Recognition
Transformers
Safetensors
English
whisper
african-accented-english
clinical-asr
afrispeech
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Professor/whisper-small-afrispeech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Professor/whisper-small-afrispeech")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Professor/whisper-small-afrispeech")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Professor/whisper-small-afrispeech", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-afrispeech
971 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Professor's picture
Professor
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  • .gitattributes
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  • README.md
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  • config.json
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  • eval_wer_breakdown.csv
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  • generation_config.json
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  • model.safetensors
    967 MB
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  • processor_config.json
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
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  • training_args.bin
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