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:
- 3b89bcd89909b61ecaf6a9ef2be464d146e2bcd2c5920b182573dbdedf4fcea7
- Size of remote file:
- 1.07 kB
- SHA256:
- 1f69422a8a8f344c4fca2f0c6b8d41d2151d6615b7321e48e6bb15ae949b119c
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