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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f703ee4c29a8adccd53d43fcfebe3facca492bd749bf1d2a9c82b57f59cce0a2
- Size of remote file:
- 2.01 MB
- SHA256:
- 18af808d9116f635a29bf55926bc757eee0c3e0995880955bbb023ffd90a966c
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