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AXERA-TECH
/
VoxCPM

Text-to-Speech
Transformers
ONNX
English
Chinese
VoxCPM
Speech
Model card Files Files and versions
xet
Community

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
VoxCPM
1.86 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
qqc1989's picture
qqc1989
Upload config.json
4362cec verified 7 months ago
  • VoxCPM-0.5B
    first commit 7 months ago
  • assets
    first commit 7 months ago
  • axmodels
    update 7 months ago
  • base_lm-axmodels
    first commit 7 months ago
  • feat_decoder_estimator_decoder-axmodels
    update 7 months ago
  • feat_encoder_encoder-axmodels
    update 7 months ago
  • onnxruntime-aarch64-none-gnu-1.16.0
    update 7 months ago
  • residual_lm-axmodels
    first commit 7 months ago
  • .gitattributes
    9.86 kB
    update 7 months ago
  • README.md
    1.7 kB
    update 7 months ago
  • config.json
    0 Bytes
    Upload config.json 7 months ago
  • main_ax650
    6.72 MB
    xet
    update 7 months ago
  • run_ax650.py
    1.49 kB
    update 7 months ago
  • run_ax650.sh
    650 Bytes
    update 7 months ago
  • tokenizer.py
    8 kB
    update 7 months ago