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:
- 905f1734cb880a4ed4f91c6db550e4c4302127ddb2100a4ccb9eecfc3813dab5
- Size of remote file:
- 14.1 MB
- SHA256:
- 9c8b057d6ca205a429cc3428b9fc815f0d6ee1d53106dd5e5b129ef9db2ff057
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