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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a9e413885a7734ee474c227e70b436b0e44308617fcaadfbee070c2a6915a8c
- Size of remote file:
- 6.72 MB
- SHA256:
- c81f93c3b1089c2279c98af1019d5e852e8a8ffe0f23b577d2960e20be478ff5
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