Instructions to use evrenesat/audioventura-ace-step-v0.1.8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evrenesat/audioventura-ace-step-v0.1.8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evrenesat/audioventura-ace-step-v0.1.8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
AudioVentura ACE-Step v0.1.8 runtime bundle
This repository groups the four checkpoint trees used by the private AudioVentura Runpod worker so Runpod can cache them as one model reference. It does not alter the model data.
Pinned sources:
ACE-Step/Ace-Step1.5at19671f406d603126926c1b7e2adc169acbcade22ACE-Step/acestep-v15-xl-turboatd4a0b288b83ebb7e25a8c0b32c573c22e134e8ee- ACE-Step runtime
v0.1.8atdce621408bee8c31b4fcf4811682eb9359e1bc94
See bundle-manifest.json for the exact file inventory and object identities.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support