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:
- 1df1071b10a3dcb00d3b03efdb995c38bf9fe927002939ce25b6829e861af1be
- Size of remote file:
- 16.7 MB
- SHA256:
- e1fedbd5e1c316695931347752e4500df9939bd36e6cd21a8e640f66395a0d00
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