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:
- caaec0171bf1ebb2e0ac18a755be29f0ab39299b96d7d506cb9f34670ac658c2
- Size of remote file:
- 1.16 MB
- SHA256:
- 4836478793e6117dd89cf833623b00a70c59e98d48a1116d79edaa41f50a9f97
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