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:
- c4b3e20486a1218768c21d83b676d5a86e4d5fe62d38e9daaf06b5719bfa94b9
- Size of remote file:
- 120 kB
- SHA256:
- 48af5c5a1a8077e6b8db7bfe63c249ed99bf2e6a085ecbceb728614f6a3c94ae
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