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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 / feat_encoder_encoder-axmodels
66.8 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
lihongjie
update
19d3e46 7 months ago
  • MiniCPMForCausalLM_p3_l0_together.axmodel
    16.7 MB
    xet
    update 7 months ago
  • MiniCPMForCausalLM_p3_l1_together.axmodel
    16.7 MB
    xet
    update 7 months ago
  • MiniCPMForCausalLM_p3_l2_together.axmodel
    16.7 MB
    xet
    update 7 months ago
  • MiniCPMForCausalLM_p3_l3_together.axmodel
    16.7 MB
    xet
    update 7 months ago
  • MiniCPMForCausalLM_post.axmodel
    37.6 kB
    xet
    update 7 months ago
  • model.embed_tokens.weight.bfloat16.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    2.05 kB
    xet
    first commit 7 months ago
  • model.embed_tokens.weight.float32.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    4.1 kB
    xet
    first commit 7 months ago
  • model.embed_tokens.weight.npy
    4.22 kB
    xet
    first commit 7 months ago