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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e014fc644c17ceafb530dcbdb2b4f99ac49de1cfddf963448275df9f4b091cde
- Size of remote file:
- 4.31 MB
- SHA256:
- ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
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