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IbrahimSalah
/
Arabic_speech_Syllables_recognition_Using_Wav2vec2

Automatic Speech Recognition
Transformers
PyTorch
Arabic
wav2vec2
Arabic
MSA
Speech
Syllables
Wav2vec
ASR
Model card Files Files and versions
xet
Community
4

Instructions to use IbrahimSalah/Arabic_speech_Syllables_recognition_Using_Wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IbrahimSalah/Arabic_speech_Syllables_recognition_Using_Wav2vec2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="IbrahimSalah/Arabic_speech_Syllables_recognition_Using_Wav2vec2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("IbrahimSalah/Arabic_speech_Syllables_recognition_Using_Wav2vec2")
    model = AutoModelForCTC.from_pretrained("IbrahimSalah/Arabic_speech_Syllables_recognition_Using_Wav2vec2")
  • Notebooks
  • Google Colab
  • Kaggle
Arabic_speech_Syllables_recognition_Using_Wav2vec2 / language_model
75.2 MB
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  • 1 contributor
History: 38 commits
IbrahimSalah's picture
IbrahimSalah
Update language_model/attrs.json
8b5f138 almost 3 years ago
  • 6gram.bin
    75.1 MB
    xet
    Upload language_model/6gram.bin with huggingface_hub almost 3 years ago
  • attrs.json
    76 Bytes
    Update language_model/attrs.json almost 3 years ago
  • unigrams.txt
    31.8 kB
    Upload language_model/unigrams.txt with huggingface_hub almost 3 years ago