Instructions to use gitgato/tr-xtts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitgato/tr-xtts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="gitgato/tr-xtts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("gitgato/tr-xtts") model = AutoModelForTextToSpectrogram.from_pretrained("gitgato/tr-xtts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee7f46e532a9040132f2be10596c21e07c4f7a12bfb3bdb41e166770c640e3fc
- Size of remote file:
- 211 MB
- SHA256:
- b29bc227d410d4991e0a8c09b858f77415013eeb9fba9650258e96095557d97a
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