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QuarkML
/
QaDiT

Text-to-Audio
Transformers
Safetensors
qadit
feature-extraction
diffusion
dit
audio
educational
research
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use QuarkML/QaDiT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="QuarkML/QaDiT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("QuarkML/QaDiT", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
QaDiT
637 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
Sidharthan's picture
Sidharthan
Update README.md
6960906 verified about 12 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 21 hours ago
  • README.md
    8.47 kB
    Update README.md about 12 hours ago
  • __init__.py
    444 Bytes
    Upload folder using huggingface_hub about 21 hours ago
  • config.json
    919 Bytes
    Upload folder using huggingface_hub about 18 hours ago
  • configuration_qadit.py
    3.49 kB
    Upload folder using huggingface_hub about 18 hours ago
  • model.safetensors
    637 MB
    xet
    Upload folder using huggingface_hub about 21 hours ago
  • modelling_qadit.py
    30.5 kB
    Upload folder using huggingface_hub about 18 hours ago
  • processing_qadit.py
    2.26 kB
    Upload folder using huggingface_hub about 21 hours ago