Instructions to use azeddinShr/Spark-TTS-Arabic-Complete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azeddinShr/Spark-TTS-Arabic-Complete with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="azeddinShr/Spark-TTS-Arabic-Complete")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("azeddinShr/Spark-TTS-Arabic-Complete", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a4e4e27b2fdf4aef3ae7cdb263d380aa216883f4aa19b07941f6abbe60d0b7c6
- Size of remote file:
- 364 kB
- SHA256:
- 82d9ab05b6c7ceed18348a4ad43ad147ae5607ba629265482cd049e812e65e1b
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