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:
- 31005ccfa7c3de7d6656747f293c269ca895871401718d1ce7781c0daa2c3e4c
- Size of remote file:
- 102 kB
- SHA256:
- 65810d8063ffa90864943ff6a7aec52c0704c9230b71fc46b302732950facace
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