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:
- d86582663d0d99b27384ad1d7f7bd11658af9b806275bdbd4f80ee5fa89b7121
- Size of remote file:
- 959 Bytes
- SHA256:
- 073e04ebc7a809df344bbf999165466e9a08b9033b2865643331fd2c446b3bf3
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