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

AEmotionStudio
/
magenta-realtime-2-mirror

Text-to-Audio
Transformers
Safetensors
PyTorch
music
audio
real-time
magenta
Model card Files Files and versions
xet
Community

Instructions to use AEmotionStudio/magenta-realtime-2-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AEmotionStudio/magenta-realtime-2-mirror with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="AEmotionStudio/magenta-realtime-2-mirror")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("AEmotionStudio/magenta-realtime-2-mirror", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
magenta-realtime-2-mirror / base
4.92 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AEmotionStudio's picture
AEmotionStudio
Upload folder using huggingface_hub
68f1579 verified 1 day ago
  • codec_shapes.json
    2.82 kB
    Upload folder using huggingface_hub 1 day ago
  • config.json
    6.15 kB
    Upload folder using huggingface_hub 1 day ago
  • model.safetensors
    4.92 GB
    xet
    Upload folder using huggingface_hub 1 day ago