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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 / assets
1.71 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
lihongjie
first commit
08f99bf 7 months ago
  • en_man1.mp3
    15.3 kB
    xet
    first commit 7 months ago
  • en_man1.txt
    66 Bytes
    xet
    first commit 7 months ago
  • en_woman1.mp3
    16.9 kB
    xet
    first commit 7 months ago
  • en_woman1.txt
    67 Bytes
    xet
    first commit 7 months ago
  • zh_man1.txt
    57 Bytes
    xet
    first commit 7 months ago
  • zh_man1.wav
    1.54 MB
    xet
    first commit 7 months ago
  • zh_man2.mp3
    31.8 kB
    xet
    first commit 7 months ago
  • zh_man2.txt
    69 Bytes
    xet
    first commit 7 months ago
  • zh_woman1.txt
    45 Bytes
    xet
    first commit 7 months ago
  • zh_woman1.wav
    111 kB
    xet
    first commit 7 months ago