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 tokenizer.json from BrianatCambridge/Qwen25OmniShadowModelAudio: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/tokenizer.json
- Command line
-
hf download hf://BrianatCambridge/Qwen25OmniShadowModelAudio/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BrianatCambridge/Qwen25OmniShadowModelAudio/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- f59fce72f616172554e519584834dd7b49bdc28f94a018b533f17d49de8d78d1
- Size of remote file:
- 11.4 MB
- SHA256:
- 8441917e39ae0244e06d704b95b3124795cec478e297f9afac39ba670d7e9d99
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