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
- Xet hash:
- ffcd2e35201133818f1c1f88e994c4d78c9748309fa612d35ba3ebdf40d149c4
- Size of remote file:
- 9.59 MB
- SHA256:
- 1ef7343d3add92ba731aac3f536156d3c853f5630723d8aecd403657c5598605
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