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:
- be68bbed3257c14de306edbc3a76df309311e258da2b8b23e37f5938c8d0f9eb
- Size of remote file:
- 77 kB
- SHA256:
- a7bf4db83090ecbe8b69b63e2ac311324edc820fe7d8e640484af611bd1e5067
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