# Model Online Inference [](https://gitee.com/mindspore/docs/blob/r2.4.1/docs/mindspore/source_en/orange_pi/model_infer.md) This section describes how to download the Ascend MindSpore online inference case on the OrangePi AIpro (hereafter: OrangePi development board) and launch the Jupyter Lab interface to perform inference. ## 1. Downloading Case Step1 Download case code. ```bash # Open a terminal on the development board and run the following command cd samples/notebooks/ git clone https://github.com/mindspore-courses/orange-pi-mindspore.git ``` Step2 Enter the case catalog. The downloaded code package is in the following directory of the OrangePi development board: /home/HwHiAiUser/samples/notebooks. The project catalog is listed below: ```bash /home/HwHiAiUser/samples/notebooks/orange-pi-mindspore/tutorial/ 01-dev_start 02-ResNet50 03-ViT 04-FCN 05-Shufflenet 06-SSD 07-RNN 08-LSTM+CRF 09-GAN 10-DCGAN 11-Pix2Pix 12-Diffusion 13-ResNet50_transfer ``` ## 2. Inference Execution Step 1 Launch the Jupyter Lab interface. ```bash cd /home/HwHiAiUser/samples/notebooks/ ./start_notebook.sh ``` After executing the script, the following printout will appear in the terminal, in which there will be a link to the URL for logging into Jupyter Lab.  Then open the browser.  Then enter the URL link you see above in your browser to log into the Jupyter Lab software.  Step 2 In the Jupyter Lab interface, double-click the case directory shown in the figure below, take “04-FCN” as an example here, you can enter the case directory.  Step 3 In this directory there are all the resources to run the sample, where mindspore_fcn8s.ipynb is the file to run the sample in Jupyter Lab. Double-click to open the mindspore_fcn8s.ipynb, which will be displayed in the right window. The contents of the mindspore_fcn8s.ipynb file is shown in the following figure:  Step 4 Click the ⏩ button to run the sample. In the pop-up dialog box, click the "Restart" button, then the sample begins to run. 