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:
- 282ac197a4f2e0768f6bf2d48e785d4fb32391ee236fd43b8dd67820b85733d8
- Size of remote file:
- 16.7 MB
- SHA256:
- ce8a5391dc2a2085b7d351b3f54ccb41f6d3aef443ecc799614618b7bade7312
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