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:
- 04a70377c3805025c68b309724c90810a24d7fe2f02b1cad997e32b3e7cce9b1
- Size of remote file:
- 1.31 GB
- SHA256:
- af7b3b88685f43211dd931e8e25443f4f63dbb78ffecf9fe5c88d8974fc305a0
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