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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fishaudio/fish-speech-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ffmpeg.exe from fishaudio/fish-speech-1: direct link, hf CLI and curl.
- Browser
- Download file 85.9 MB
-
https://huggingface.co/fishaudio/fish-speech-1/resolve/main/ffmpeg.exe
- Command line
-
hf download hf://fishaudio/fish-speech-1/ffmpeg.exe
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curl -L -o ffmpeg.exe https://huggingface.co/fishaudio/fish-speech-1/resolve/main/ffmpeg.exe
85.9 MB
- Xet hash:
- b9b66a6fd54faa7b6f1436ca851783eaa955c053c62c8624a2e416dd09ff43b1
- Size of remote file:
- 85.9 MB
- SHA256:
- 1f5eac90dc93cc28dbdd1267e438de25d1f9af5be5e1e44084497a4b252684a9
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