Instructions to use lailais1/TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lailais1/TTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="lailais1/TTS")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("lailais1/TTS") model = AutoModelForTextToSpectrogram.from_pretrained("lailais1/TTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c7be7182b6c2c5a6e83394fc2e30869a36fbec83f8655d582a6505b7b641700
- Size of remote file:
- 578 MB
- SHA256:
- 86e8f16f9e94735673a036fa07224e846606188f2209c318f905d6c5cb81b455
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