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-9000/optimizer.pt from BrianatCambridge/Qwen25OmniShadowModelAudio: direct link, hf CLI and curl.
- Browser
- Download file 225 MB
-
https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-9000/optimizer.pt
- Command line
-
hf download hf://BrianatCambridge/Qwen25OmniShadowModelAudio/checkpoint-9000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-9000/optimizer.pt
225 MB
- Xet hash:
- a7a0e678ef36570db76cc1ea36ffa299fdf91e9d56b50a25b8fed2de67d89c07
- Size of remote file:
- 225 MB
- SHA256:
- 1c4b79d1d17e86913ca061ff7df70fa38f50e37feb9a33b340acc516f84efc18
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