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:
- d5fd2e91db7904470bb48e09ee21e7f9d99e6607ab0367a270964a668f4ed0b4
- Size of remote file:
- 431 kB
- SHA256:
- 74ac35394031e708f738fd99508f8f941f15bbcb99ea5abbc98cd8795ed44831
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