Instructions to use Kaizendsds/speecht5_arabic_female_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kaizendsds/speecht5_arabic_female_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Kaizendsds/speecht5_arabic_female_voice")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Kaizendsds/speecht5_arabic_female_voice") model = AutoModelForTextToSpectrogram.from_pretrained("Kaizendsds/speecht5_arabic_female_voice") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff421dd66227f82a6d83eefb91aa47db51b264843cf92ab61ae1795c7b50926d
- Size of remote file:
- 578 MB
- SHA256:
- e78b81b4340f5048aec05a3481102c5b88f3d70feac9e9942eeda1bb9c77f628
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