Instructions to use fishaudio/fish-speech-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fishaudio/fish-speech-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="fishaudio/fish-speech-1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fishaudio/fish-speech-1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9a714f9d4add81b10b4253748b53703ecb091ce0e0fd143ed6d47d5c33d42e5
- Size of remote file:
- 85.7 MB
- SHA256:
- 40e3e55b921d29f373d04666847cae6dd9a0cdd3e94ddfc163ff1bf334299b5b
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