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:
- e85a6ad84a1fc3a18a44c5c67e72dbf04485cfe78db28048fde6c21593ac71ed
- Size of remote file:
- 88.2 kB
- SHA256:
- a74576c985e94b51446227a5e6613bb028c68cc5f9e4d85f49230ee600ce315f
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