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FaisaI
/
tadabur-Whisper-Small

Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
quran
asr
arabic
speech-recognition
Model card Files Files and versions
xet
Community
1

Instructions to use FaisaI/tadabur-Whisper-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FaisaI/tadabur-Whisper-Small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="FaisaI/tadabur-Whisper-Small")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("FaisaI/tadabur-Whisper-Small")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("FaisaI/tadabur-Whisper-Small", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tadabur-Whisper-Small
1.71 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
FaisaI's picture
FaisaI
Update README.md
956e899 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.7 kB
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  • added_tokens.json
    36.2 kB
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  • config.json
    1.39 kB
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  • generation_config.json
    4.07 kB
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  • merges.txt
    544 kB
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  • model.safetensors
    967 MB
    xet
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  • normalizer.json
    54.4 kB
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  • optimizer.pt
    738 MB
    xet
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  • preprocessor_config.json
    371 Bytes
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  • rng_state.pth
    14.2 kB
    xet
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  • scaler.pt
    988 Bytes
    xet
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  • scheduler.pt
    1.06 kB
    xet
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  • special_tokens_map.json
    2.33 kB
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  • tokenizer.json
    2.48 MB
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  • tokenizer_config.json
    296 kB
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  • trainer_state.json
    190 kB
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  • training_args.bin
    5.62 kB
    xet
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  • vocab.json
    1.09 MB
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