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 02-demo2.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/02-demo2.mp3
- Command line
-
hf download hf://m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/02-demo2.mp3
-
curl -L -o 02-demo2.mp3 https://huggingface.co/m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/resolve/main/02-demo2.mp3
5.76 MB
- Xet hash:
- 732c40fe6a9a5df424fdcf3127f2454897efbfa2dac2b88fa7d9d2fb422482bf
- Size of remote file:
- 5.76 MB
- SHA256:
- 65902a4198c9a834a51d54c34850c246a5b352412c2d556aab1cb0902aa7b8c6
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