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:
- 90aec5bbe5cb9a7b9e5c0d01e6bfbdc685d6c9bbc4d52e1ec0b05d717af8fc48
- Size of remote file:
- 127 kB
- SHA256:
- bfb1617c623cc25f5af6ce1e18331f1e0c61892e21bb90702c9ce2b2b5c0e8e2
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