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:
- 880a2b877b2dd0f473bfcb14ec2e1a1180934e2772543d157068a835c47572e1
- Size of remote file:
- 1.81 MB
- SHA256:
- f3df943718e65143f30eaa8fb756d6a4410b6a2d4765d2d6b0cc3bc98769e132
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.