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
- Xet hash:
- 82820c9bb7cf577894de2ffb77dda35ac604fb67038a980e3f8ea51ff2ec9395
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
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