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:
- 91caec76c351fa233931117d8e42015bf8c0ed3c4462625f03b120930ac24bfc
- Size of remote file:
- 1.95 MB
- SHA256:
- 4bfa0bef731112ba0ff49bc54657a4a11b6fb0685cd7fa239e2a1dc189ee6dfa
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