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:
- d4962c8fffe56f485d8fec88bb2ad90909f2749d333b38952cdfc4b82d0c107f
- Size of remote file:
- 1.87 GB
- SHA256:
- c7ea20001c6a0a841c77e252d8409f6a74fb423e79b3206a0771ba5989776187
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