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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

YeQing
/
speecht5_tts_commonvioce_zh

Text-to-Audio
Transformers
PyTorch
TensorBoard
speecht5
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use YeQing/speecht5_tts_commonvioce_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use YeQing/speecht5_tts_commonvioce_zh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="YeQing/speecht5_tts_commonvioce_zh")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("YeQing/speecht5_tts_commonvioce_zh")
    model = AutoModelForTextToSpectrogram.from_pretrained("YeQing/speecht5_tts_commonvioce_zh", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5_tts_commonvioce_zh / runs
38.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
YeQing's picture
YeQing
Training in progress, step 4000
a86c607 over 3 years ago
  • May06_09-25-43_ec2bfe968825
    Training in progress, step 4000 over 3 years ago