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

z-uo
/
vits-male-it

Text-to-Speech
Transformers
TensorBoard
Italian
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use z-uo/vits-male-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use z-uo/vits-male-it with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="z-uo/vits-male-it")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("z-uo/vits-male-it", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vits-male-it
4.02 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
z-uo's picture
z-uo
Create README.md
9683e71 over 4 years ago
  • .gitattributes
    1.35 kB
    train over 4 years ago
  • GOOD_best_model_8540.pth.tar
    998 MB
    xet
    train over 4 years ago
  • README.md
    605 Bytes
    Create README.md over 4 years ago
  • best_model.pth.tar
    998 MB
    xet
    train over 4 years ago
  • best_model_11956.pth.tar
    998 MB
    xet
    train over 4 years ago
  • checkpoint_10000.pth.tar
    998 MB
    xet
    train over 4 years ago
  • config.json
    7.38 kB
    xet
    train over 4 years ago
  • events.out.tfevents.1643440955.pop-os
    29.5 MB
    xet
    train over 4 years ago
  • trainer_0_log.txt
    563 kB
    xet
    train over 4 years ago