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:
- e3d2aadee34752cde097a3709f5776fafa75abfbc81d1a1ba3ff382c3e4d7077
- Size of remote file:
- 16.7 MB
- SHA256:
- 5aa16bbb9e750bbc1640054f061d894f62661f4b201913fbefcb5f6e185cd59f
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