Instructions to use formospeech/yourtts-htia-240704 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use formospeech/yourtts-htia-240704 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="formospeech/yourtts-htia-240704")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("formospeech/yourtts-htia-240704", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e5de55ecc6c5d2a30171053020aefa9d01e1c92f3d15af92898afc7c449f1ce
- Size of remote file:
- 93.7 kB
- SHA256:
- 2a573f1e2a8e413368f7f0fc93dbdc92039cf2bd4454acd8dbca1647f187215a
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