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/rng_state_0.pth from BrianatCambridge/Qwen25OmniShadowModelAudio: direct link, hf CLI and curl.
- Browser
- Download file 14.9 kB
-
https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-8000/rng_state_0.pth
- Command line
-
hf download hf://BrianatCambridge/Qwen25OmniShadowModelAudio/checkpoint-8000/rng_state_0.pth
-
curl -L -o rng_state_0.pth https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/checkpoint-8000/rng_state_0.pth
14.9 kB
- Xet hash:
- 45ab5ec64cdaddffb27eef5d11e2e53bd632a2ccec4a8bd5a9aee632d350a96b
- Size of remote file:
- 14.9 kB
- SHA256:
- 5bf85e31f99da568c23e143faebe5a4e4a1571fc5ac2e2d565b0cf947b2afe72
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