Instructions to use m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("ACE-Step/Ace-Step1.5") model = PeftModel.from_pretrained(base_model, "m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs") - Notebooks
- Google Colab
- Kaggle
Download 04-demo4.mp3 from m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs: direct link, hf CLI and curl.
- Browser
- Download file 5.76 MB
-
https://huggingface.co/m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/resolve/main/04-demo4.mp3
- Command line
-
hf download hf://m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/04-demo4.mp3
-
curl -L -o 04-demo4.mp3 https://huggingface.co/m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/resolve/main/04-demo4.mp3
5.76 MB
- Xet hash:
- fa63b6765d5e069b65a6988cec273d3c212ff9b56115f3583fbc653ec9ecdbb6
- Size of remote file:
- 5.76 MB
- SHA256:
- a5f8b8fa8af2109899ee45374f248d1a1b336bc40f09ba4b2dfd792e2f312054
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