Text-to-Audio
Transformers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use ACE-Step/acestep-v15-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACE-Step/acestep-v15-sft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="ACE-Step/acestep-v15-sft", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ACE-Step/acestep-v15-sft", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc9cedbc5b0c55559e71047de50bd80060d39f30d7e8af7df00bdb275ab5867e
- Size of remote file:
- 4.79 GB
- SHA256:
- d4dd3a93870f06720027965b90771f529ab02094b3d29e2518f1d5e097e1af7e
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