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mispeech
/
midashenglm-gen

Text-to-Audio
Transformers
Safetensors
midashenglm-gen
feature-extraction
audio-generation
flow-matching
dasheng
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use mispeech/midashenglm-gen with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-to-audio", model="mispeech/midashenglm-gen", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mispeech/midashenglm-gen", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
midashenglm-gen / models
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  • 1 contributor
History: 1 commit
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xingweis
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  • audiotokenizers
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  • flowmatching
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  • mdl_modules
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  • __init__.py
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  • mdl_gen.py
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