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:
- 7ef962b2cb4040a3fbf51072e4032e8c63bf9a27031e8a549ba0e46de966c0d5
- Size of remote file:
- 4.1 kB
- SHA256:
- ad7facb2586fc6e966c004d7d1d16b024f5805ff7cb47c7a85dabd8b48892ca7
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