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IbrahimSalah
/
Wav2vecLarge_quran_syllables_recognition

Automatic Speech Recognition
Transformers
Safetensors
Arabic
wav2vec2
Quran
speech
arabic
asr
Model card Files Files and versions
xet
Community

Instructions to use IbrahimSalah/Wav2vecLarge_quran_syllables_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IbrahimSalah/Wav2vecLarge_quran_syllables_recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="IbrahimSalah/Wav2vecLarge_quran_syllables_recognition")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("IbrahimSalah/Wav2vecLarge_quran_syllables_recognition")
    model = AutoModelForCTC.from_pretrained("IbrahimSalah/Wav2vecLarge_quran_syllables_recognition", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Wav2vecLarge_quran_syllables_recognition / language_model
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  • 1 contributor
History: 4 commits
IbrahimSalah's picture
IbrahimSalah
Rename 5gram_4.bin to language_model/5gram.bin
b452aa4 verified over 2 years ago
  • 5gram.bin
    8.07 MB
    xet
    Rename 5gram_4.bin to language_model/5gram.bin over 2 years ago
  • attrs.json
    78 Bytes
    Rename language_model/attrs (1).json to language_model/attrs.json over 2 years ago
  • unigrams.txt
    20.2 kB
    Rename language_model_unigrams (2).txt to language_model/unigrams.txt over 2 years ago