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:
- 30672ba141a9672dafd0431bd816d7f6597198dc753d44e8cf09c787043be4b8
- Size of remote file:
- 16.7 MB
- SHA256:
- c4bf61a6a3a261173f1c764b06731e9cc99dd00f633dd01cce94535f720e389d
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