Instructions to use Beehzod/UzTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Beehzod/UzTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Beehzod/UzTTS")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Beehzod/UzTTS") model = AutoModelForTextToSpectrogram.from_pretrained("Beehzod/UzTTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52a09ec43036cd8c2cdd02dc89619bff8fc6056bccf96250f5eab78fc0be7448
- Size of remote file:
- 5.43 kB
- SHA256:
- d30211d1abd7f7f7ccc1275a3289cffe37c571ac032643b77a9042c0a45ff98e
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