Instructions to use BrianatCambridge/Qwen25OmniShadowModelAudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BrianatCambridge/Qwen25OmniShadowModelAudio with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Omni-7B") model = PeftModel.from_pretrained(base_model, "BrianatCambridge/Qwen25OmniShadowModelAudio") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-8000/scheduler.pt from BrianatCambridge/Qwen25OmniShadowModelAudio: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-8000/scheduler.pt
- Command line
-
hf download hf://BrianatCambridge/Qwen25OmniShadowModelAudio/checkpoint-8000/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-8000/scheduler.pt
1.47 kB
- Xet hash:
- 6d892b6fffa020430a182733002f927b9fa207ada2d822c1ec5c4dd9da09a8f9
- Size of remote file:
- 1.47 kB
- SHA256:
- 5aacd618227cb0d21b9afdb1655fe18f59d375c206b0ec250ed9349fa62a0679
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.