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
| highpass_cutoff_freq: 40 | |
| sample_rate: 16000 | |
| segment_duration: 2.4 # (s) | |
| max_val_duration: 12 # (s) | |
| latent_hop_length: 320 | |
| ref_segment_duration: 6 | |
| volume_normalize: true |