Instructions to use AXERA-TECH/VoxCPM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/VoxCPM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/VoxCPM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/VoxCPM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6428c0a274df5fe50cc0e1722a9e67c8b03c2e4b0a7a97003cc459eaad57d850
- Size of remote file:
- 596 kB
- SHA256:
- 77b4c8e0bb3c40dc7b3eea636bcb83223668ed6e73721b7955a237b35aa7b7c8
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