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/rng_state_1.pth from BrianatCambridge/Qwen25OmniShadowModelAudio: direct link, hf CLI and curl.
- Browser
- Download file 14.9 kB
-
https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-9000/rng_state_1.pth
- Command line
-
hf download hf://BrianatCambridge/Qwen25OmniShadowModelAudio/checkpoint-9000/rng_state_1.pth
-
curl -L -o rng_state_1.pth https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-9000/rng_state_1.pth
14.9 kB
- Xet hash:
- 9d3353fadc236abbe2af353ba1de8c559d0b9fd0717c04f61a8a0eb35d844ad9
- Size of remote file:
- 14.9 kB
- SHA256:
- deb7ff315d7cbdf370834c4b10a3bb9c263d7b8e5cd25a5891a196c7451cc195
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