Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

AXERA-TECH
/
CosyVoice2

Text-to-Speech
Transformers
ONNX
English
Chinese
CosyVoice2
Speech
Model card Files Files and versions
xet
Community

Instructions to use AXERA-TECH/CosyVoice2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AXERA-TECH/CosyVoice2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="AXERA-TECH/CosyVoice2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AXERA-TECH/CosyVoice2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CosyVoice2 / onnxruntime-linux-x64-1.23.0
22.6 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
lihongjie
replace mnn with onnxruntime
26bfbe8 8 months ago
  • lib
    replace mnn with onnxruntime 8 months ago
  • GIT_COMMIT_ID
    41 Bytes
    xet
    replace mnn with onnxruntime 8 months ago
  • LICENSE
    1.07 kB
    xet
    replace mnn with onnxruntime 8 months ago
  • Privacy.md
    2.47 kB
    xet
    replace mnn with onnxruntime 8 months ago
  • README.md
    2.97 kB
    xet
    replace mnn with onnxruntime 8 months ago
  • ThirdPartyNotices.txt
    327 kB
    xet
    replace mnn with onnxruntime 8 months ago
  • VERSION_NUMBER
    7 Bytes
    xet
    replace mnn with onnxruntime 8 months ago