Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Foxasdf
/
ArabicTextToSpeech

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use Foxasdf/ArabicTextToSpeech with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Foxasdf/ArabicTextToSpeech")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Foxasdf/ArabicTextToSpeech")
    model = AutoModelForCTC.from_pretrained("Foxasdf/ArabicTextToSpeech")
  • Notebooks
  • Google Colab
  • Kaggle
ArabicTextToSpeech / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
Foxasdf's picture
Foxasdf
Training in progress, step 2800
7d43876 almost 3 years ago
  • Jun21_14-05-55_c36501be70cf
    Training in progress, step 2100 almost 3 years ago
  • Jun21_16-53-30_9de6cb13fb4d
    Training in progress, step 2800 almost 3 years ago