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/training_args.bin from BrianatCambridge/Qwen25OmniShadowModelAudio: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-8000/training_args.bin
- Command line
-
hf download hf://BrianatCambridge/Qwen25OmniShadowModelAudio/checkpoint-8000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-8000/training_args.bin
5.97 kB
- Xet hash:
- 55f9790a8210498e5e6b1d23a5e7c0c31734d22d4231f6b378dd89af0604e5a5
- Size of remote file:
- 5.97 kB
- SHA256:
- 4be7fcc15fad5cfbb681c22b23c3a8fa62ca801982cd41f9df3943a99104da2d
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