Instructions to use Sham786/tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sham786/tts with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sham786/tts", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af9e524f05eb3c0620a081d93748508edc402f9bdbe333227c4536f7551f88d0
- Size of remote file:
- 101 MB
- SHA256:
- 6e84b1ce60631c56dc8dec3d27c131993dd99d3060e7919cc351857457dbfdac
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