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 05-demo5.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/05-demo5.mp3
- Command line
-
hf download hf://m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/05-demo5.mp3
-
curl -L -o 05-demo5.mp3 https://huggingface.co/m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/resolve/main/05-demo5.mp3
5.76 MB
- Xet hash:
- d134064c59b26c91c356ef99f83da671c8fe2d71aed5abaec98ebfb213ce7651
- Size of remote file:
- 5.76 MB
- SHA256:
- d68806aaca4bd15257ac71d4cc08cf5428608d017393c5ac5d660e20e66f4eba
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