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

Lingua-Connect
/
speecht5_sw_normal

Text-to-Audio
Transformers
TensorBoard
Safetensors
speecht5
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Lingua-Connect/speecht5_sw_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Lingua-Connect/speecht5_sw_normal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="Lingua-Connect/speecht5_sw_normal")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForTextToSpectrogram
    
    processor = AutoProcessor.from_pretrained("Lingua-Connect/speecht5_sw_normal")
    model = AutoModelForTextToSpectrogram.from_pretrained("Lingua-Connect/speecht5_sw_normal")
  • Notebooks
  • Google Colab
  • Kaggle
speecht5_sw_normal / runs
61.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
kazeric's picture
kazeric
Training in progress, step 2000
3dba351 verified about 1 year ago
  • Apr03_14-57-57_5fd0b8d01cda
    Training in progress, step 500 about 1 year ago
  • Apr03_16-20-31_5fd0b8d01cda
    Training in progress, step 2000 about 1 year ago