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:
- 4e3298aa4a15f1bb9d66e2195ec4296570c22369cd65fc42fafceb89a396a7f8
- Size of remote file:
- 16.7 MB
- SHA256:
- d0570b6522c5f2e533345ea41ecfec3b7d7389f7557729fa7441494373c3920b
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