Instructions to use ntdgo/ttsvi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntdgo/ttsvi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ntdgo/ttsvi")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ntdgo/ttsvi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pth from ntdgo/ttsvi: direct link, hf CLI and curl.
- Browser
- Download file 1.88 GB
-
https://huggingface.co/ntdgo/ttsvi/resolve/main/model.pth
- Command line
-
hf download hf://ntdgo/ttsvi/model.pth
-
curl -L -o model.pth https://huggingface.co/ntdgo/ttsvi/resolve/main/model.pth
1.88 GB
- Xet hash:
- d1e334002dd117adc02a184d763dff13aeeff4c70a7e30c5a592ecc5b3ca981d
- Size of remote file:
- 1.88 GB
- SHA256:
- 534670e4b752002b7d7224e6ea1f467bd608c8dd3c36efaa45e1f4696e8bd1d2
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