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mispeech
/
Dasheng-AudioGen

Text-to-Audio
Transformers
Safetensors
English
dasheng_audiogen
feature-extraction
audio-generation
text-to-speech
text-to-music
sound-effects
diffusion
custom_code
Model card Files Files and versions
xet
Community

Instructions to use mispeech/Dasheng-AudioGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mispeech/Dasheng-AudioGen with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="mispeech/Dasheng-AudioGen", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mispeech/Dasheng-AudioGen", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Dasheng-AudioGen
8.74 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 22 commits
mie237's picture
mie237
Update README.md
028cf5d verified 5 days ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • LICENSE
    11.4 kB
    Upload folder using huggingface_hub 18 days ago
  • README.md
    6.54 kB
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  • README_zh.md
    6.05 kB
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  • attention.py
    6.15 kB
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  • config.json
    1.59 kB
    Upload folder using huggingface_hub 14 days ago
  • configuration_dasheng_audiogen.py
    4.32 kB
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  • content_adapter.py
    3.89 kB
    Upload folder using huggingface_hub 18 days ago
  • dit.py
    38.1 kB
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  • model.safetensors
    8.74 GB
    xet
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  • modeling_dasheng_audiogen.py
    19.3 kB
    Upload folder using huggingface_hub 6 days ago
  • modules.py
    6.9 kB
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  • notebook.ipynb
    5.52 kB
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  • scheduler.py
    1.92 kB
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  • utils.py
    1.69 kB
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