Instructions to use AXERA-TECH/CosyVoice3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/CosyVoice3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/CosyVoice3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/CosyVoice3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6f5caad1fceffe10f2e015afac3155e50476c0a8062452261893bf380d42f1a
- Size of remote file:
- 6.73 MB
- SHA256:
- a4c39036e17878cade43e6c97864d3e44abf671dfe1721e9ca0964d45696a00a
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