Text-to-Audio
Transformers
Safetensors
ACE-Step
feature-extraction
audio
music
text2music
custom_code
Instructions to use rAVEUK/acestep-v15-xl-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rAVEUK/acestep-v15-xl-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="rAVEUK/acestep-v15-xl-base", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rAVEUK/acestep-v15-xl-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03b39bebb8a9e9522b4f53dd3d03d34ff40e9ca6a573057b421c953b4336ae6f
- Size of remote file:
- 4.99 GB
- SHA256:
- ade70e18afcf9e3b656cda04e15b52d1a480f4d6a0e40141f3e614a4103a279a
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