Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets
  • 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

inclusionAI
/
Ming-3.0-tts-0.5B

Text-to-Speech
Transformers
ONNX
Safetensors
dense
text-generation
audio
voice-cloning
multilingual
speech-generation
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use inclusionAI/Ming-3.0-tts-0.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use inclusionAI/Ming-3.0-tts-0.5B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-speech", model="inclusionAI/Ming-3.0-tts-0.5B", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("inclusionAI/Ming-3.0-tts-0.5B", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

When can this model support RK3576 or RK1828?

#3 opened 2 days ago by
fordiy

Apple Silicon (MPS): voice cloning outputs noise — root cause is F.softplus on a transposed view (3-line fix)

#2 opened 4 days ago by
peopleofverso

Demo for this model on Spaces

🔥 4
#1 opened 9 days ago by
multimodalart
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs