Text-to-Audio
Transformers
Safetensors
dasheng_audiogen
feature-extraction
audio-generation
text-to-speech
text-to-music
sound-effects
diffusion
custom_code
Instructions to use mispeech/Dasheng-AudioGen-Multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mispeech/Dasheng-AudioGen-Multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mispeech/Dasheng-AudioGen-Multilingual", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mispeech/Dasheng-AudioGen-Multilingual", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# Dasheng-AudioGen-Multilingual
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[](https://arxiv.org/abs/2505.XXXXX)
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[](https://huggingface.co/mispeech/Dasheng-AudioGen-Multilingual)
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[](https://huggingface.co/spaces/mispeech/Dasheng-AudioGen)
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[](https://nieeim.github.io/Dasheng-AudioGen-Web/)
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# Dasheng-AudioGen-Multilingual
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[](https://arxiv.org/abs/2505.XXXXX)
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[](https://github.com/xiaomi-research/dasheng-audiogen)
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[](https://huggingface.co/mispeech/Dasheng-AudioGen-Multilingual)
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[](https://huggingface.co/spaces/mispeech/Dasheng-AudioGen)
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[](https://nieeim.github.io/Dasheng-AudioGen-Web/)
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