Text-to-Audio
Transformers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use amandabenson/acestep-v15-turbo-shift3-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amandabenson/acestep-v15-turbo-shift3-fork with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="amandabenson/acestep-v15-turbo-shift3-fork", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amandabenson/acestep-v15-turbo-shift3-fork", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d99839abf98bd437954a5ffd7c0ac10f46ce56e6108a223d85832771d062f70
- Size of remote file:
- 4.79 GB
- SHA256:
- ce57ceb4a82890c87d3d6071c70b2392db91f6c7dcf3f96b32ec7205f0d40457
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