Instructions to use Gatozu35/tortoise-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gatozu35/tortoise-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gatozu35/tortoise-tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Gatozu35/tortoise-tts") model = AutoModel.from_pretrained("Gatozu35/tortoise-tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_decoder.pth from Gatozu35/tortoise-tts: direct link, hf CLI and curl.
- Browser
- Download file 1.17 GB
-
https://huggingface.co/Gatozu35/tortoise-tts/resolve/main/diffusion_decoder.pth
- Command line
-
hf download hf://Gatozu35/tortoise-tts/diffusion_decoder.pth
-
curl -L -o diffusion_decoder.pth https://huggingface.co/Gatozu35/tortoise-tts/resolve/main/diffusion_decoder.pth
1.17 GB
- Xet hash:
- 84a00d30117d58e3da5b5d0bad332eb9e6573949df02903fdb2e0b55dbbce419
- Size of remote file:
- 1.17 GB
- SHA256:
- ea776fc354eabb70cfae145777153483fad72e3e0c5ea345505ded2231a90ce1
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