Add vram note (#4009)

docs/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.en.md

@@ -634,6 +634,8 @@ All the model pipelines provided by PaddleX can be quickly experienced. You can
 
 Before using the PP-StructureV3 pipeline locally, please ensure that you have completed the installation of the PaddleX wheel package according to the [PaddleX Local Installation Guide](../../../installation/installation.en.md). If you wish to selectively install dependencies, please refer to the relevant instructions in the installation guide. The dependency group corresponding to this pipeline is `ocr`.
 
+> When performing GPU inference, the default configuration may use more than 16 GB of VRAM. Please ensure that your GPU has sufficient memory. To reduce VRAM usage, you can modify the configuration file as described below to disable unnecessary features.
+
 ### 2.1 Experiencing via Command Line
 
 You can quickly experience the PP-StructureV3 pipeline with a single command. Use the [test file](https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png) and replace `--input` with the local path to perform prediction.

docs/pipeline_usage/tutorials/ocr_pipelines/PP-StructureV3.md

@@ -594,6 +594,8 @@ PaddleX 所提供的模型产线均可以快速体验效果，你可以在本地
 
 在本地使用通用版面解析v3产线前，请确保您已经按照[PaddleX本地安装教程](../../../installation/installation.md)完成了PaddleX的wheel包安装。如果您希望选择性安装依赖，请参考安装教程中的相关说明。该产线对应的依赖分组为 `ocr`。
 
+> 在进行 GPU 推理时，默认配置可能会占用超过 16 GB 的显存，请务必确认 GPU 显存容量充足。若需减少显存占用，可参考下文说明修改配置文件，关闭不必要的功能。
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 ### 2.1 命令行方式体验
 一行命令即可快速体验版面解析产线效果，使用 [测试文件](https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/pp_structure_v3_demo.png)，并将 `--input` 替换为本地路径，进行预测