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:
- e790bd1fbc831f54049913c20c736aba62979b0e2bab819c5805a4a9cc3bf79a
- Size of remote file:
- 7.31 kB
- SHA256:
- 3f63f7b81172feef0cd47466795e7fc796dfcf0be86e5c24d2a09091a1a3fa40
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