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:
- 0665f42eed49d65c9084dc5400650d61121f8de9edd5b4de79acde1e4c65ec19
- Size of remote file:
- 82.2 MB
- SHA256:
- 6e563de5614ca4a8ed2d7a492a9109ca95f56522f0159ee4e9d2582cb9279c03
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