[Doc] Add single NPU tutorial for Qwen2.5-Omni-7B

[Semmer2]

What this PR does / why we need it?

Does this PR introduce any user-facing change?

No

How was this patch tested?

• vLLM version: v0.11.2
• vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.2

[github-actions]

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[gemini-code-assist]

Code Review

This pull request adds a new tutorial for running Qwen2.5-Omni-7B on a single NPU. The documentation is well-structured, covering both offline inference and online serving. I've identified a missing dependency installation step that would prevent the offline inference example from running and have provided a suggestion to fix it.

[gemini-code-assist]

The Python script for offline inference uses qwen_vl_utils.process_vision_info, but the qwen_vl_utils package is not installed in the Docker container by default. This will cause an ImportError when running the script. Please add a step to install this package.

Suggested change

	pip install qwen_vl_utils --extra-index-url https://download.pytorch.org/whl/cpu/