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 07-demo7.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/07-demo7.mp3
- Command line
-
hf download hf://m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/07-demo7.mp3
-
curl -L -o 07-demo7.mp3 https://huggingface.co/m125148/ACE-Step-v1.5-raspy-vocal-and-instrumental-5-LoRAs/resolve/main/07-demo7.mp3
5.76 MB
- Xet hash:
- ba9c2b12c91fc012af293b7c76bcc5b613ed169e8e866577bd447ffcd80191cd
- Size of remote file:
- 5.76 MB
- SHA256:
- 933651d546ac3915c6907a8c35fa84b0c5cf55145d089469731242213df0b5f8
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