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:
- 26bcdc13f6b6658cf5592e33c2d77a53f84d76d58d401efb9eac8d476ad3d7b9
- Size of remote file:
- 119 kB
- SHA256:
- 9cb85e0217bfa18ce35dc5237c85b46fd1eeac7434b3a27c89a9136b3707d920
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