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:
- 3649e2b5f65379e7e6a6425f0344586bd0b1ddc5bdeaffa5d9d52702224b40fd
- Size of remote file:
- 578 MB
- SHA256:
- 1389aa9355d6fe37832cd91011d8c734dd3038ed3f20a4edb21bf74ecac186fc
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