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[DOCS] port n fix smart-traffic toc main
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metro-ai-suite/smart-traffic-intersection-agent/docs/user-guide/get-started.md

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@@ -184,7 +184,7 @@ locations on the same machine for `n` required instances.
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```bash
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export VLM_MODEL_NAME=<supported_model_name> # eg. microsoft/Phi-3.5-vision-instruct, Qwen/Qwen2.5-VL-3B-Instruct
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```
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> **IMPORTANT:** See this [disclaimer](#disclaimer-for-using-third-party-ai-models) before using any AI Model.
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> **IMPORTANT:** See this [disclaimer](#disclaimer-for-using-third-party-ai-models) before using any AI Model.
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4. Run Setup for Instance #2
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# Set log level to debug to help in debugging issues, default value is info
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export LOG_LEVEL=DEBUG
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# Select iGPU as the accelerator to perform VLM inference. By default, it is set to CPU
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# Select iGPU as the accelerator to perform VLM inference. By default, it is set to CPU
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export VLM_DEVICE=GPU
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# Other VLM related config, sample values
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./get-started/system-requirements
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./get-started/build-from-source
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./get-started/deploy-with-helm
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