> For the complete documentation index, see [llms.txt](https://docs.tensorleap.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorleap.ai/getting-started/tensorleap-setup/post-installation-sanity-check.md).
# Post-Installation Sanity Check
Once you have installed Tensorleap on your local machine or server, you can perform a quick sanity check to ensure the system is fully operational. This guide will walk you through installing the Tensorleap CLI on your machine, authenticating your machine with a secure token, and deploying a sample MNIST project to verify your setup. Please note that the initial model evaluation process may take up to 20 minutes to complete.
### Performing the Sanity
1. Install the Leap CLI on your machine (you write code on) by running the following command:
```
curl -s https://raw.githubusercontent.com/tensorleap/leap-cli/master/install.sh | bash
```
2. Clone the sample mnist project by running the following command:
```
git clone https://github.com/Tensorleap-hub/mnist.git
cd mnist
```
3. Authenticate the CLI:
Copy your API token from the Tensorleap UI by navigating to Settings and selecting CLI Token.
Click on "YES, DISABLE MY OLD TOKEN AND GENERATE A NEW ONE"
Click on the copy icon
Run the following command and replace the \[Token] with the token ID you've copied
```
leap auth login http://localhost:4589 -k [Token]
```
4. Within the mnist directory run the following command:
```
leap push
```
While being prompt in the process of the leap push run in the cli:
* Create a new project
* Provide a name for the model - For Example modelmnist
* Select the .h5 model
* Reply with a Yes to the Evaluate Model
* Set the batch to 256
Th evaluate process may take up to 20 minutes
---
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