Instructions to use scarxity/fish-speech-s2-pro-nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scarxity/fish-speech-s2-pro-nf4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="scarxity/fish-speech-s2-pro-nf4")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scarxity/fish-speech-s2-pro-nf4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.pth from scarxity/fish-speech-s2-pro-nf4: direct link, hf CLI and curl.
- Browser
- Download file 3.12 GB
-
https://huggingface.co/scarxity/fish-speech-s2-pro-nf4/resolve/main/model.pth
- Command line
-
hf download hf://scarxity/fish-speech-s2-pro-nf4/model.pth
-
curl -L -o model.pth https://huggingface.co/scarxity/fish-speech-s2-pro-nf4/resolve/main/model.pth
3.12 GB
- Xet hash:
- 2d3099fcd5e7deaefb09fccfb875e5390700c2e327205817b83b43d28b43a4e8
- Size of remote file:
- 3.12 GB
- SHA256:
- 08b409f40c653cf2af5b5b08a797c67ba706d22b586c831c14e5ac156b1960ae
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