Instructions to use AXERA-TECH/CosyVoice2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/CosyVoice2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/CosyVoice2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/CosyVoice2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download asset/output.wav from AXERA-TECH/CosyVoice2: direct link, hf CLI and curl.
- Browser
- Download file 1.07 MB
-
https://huggingface.co/AXERA-TECH/CosyVoice2/resolve/main/asset/output.wav
- Command line
-
hf download hf://AXERA-TECH/CosyVoice2/asset/output.wav
-
curl -L -o output.wav https://huggingface.co/AXERA-TECH/CosyVoice2/resolve/main/asset/output.wav
1.07 MB
- Xet hash:
- bf78e7fca67a053fb524b777f2e1ee1ad5106e122104901601a74510aea9b830
- Size of remote file:
- 1.07 MB
- SHA256:
- d369e523e6bfe972a949cb70fa989384528673583e87aa42e1fd7f62c8b38330
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