> For the complete documentation index, see [llms.txt](https://guide.palletml.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.palletml.com/deploy/deploy-your-model.md).

# Deploy a Model

All you need is a [**TensorFlow Lite**](https://www.tensorflow.org/lite) model trained for image classification and corresponding list of labels.

{% hint style="info" %}
If you don't have these assets ready. Use one of our [example models](/models/download-pre-built-models.md) to get started quickly.
{% endhint %}

## Deploy Your Model With Pallet

1\. **Install Pallet** from the Google Play Store  [<img src="/files/-MMHOOWLngU6h8IAfmHV" alt="" data-size="original">](https://play.google.com/store/apps/details?id=com.palletml.app)&#x20;

&#x20;   and **Sign Up** to create a new account

![](/files/-MME79LcfyoP4lB6WgAJ)

2\. **In your computer browser**, **visit** [**app.palletml.com**](http://app.palletml.com/) in a new tab and **Log In** to the account you just created.

![](/files/-MME79LbZYnX1PSKBBT2)

3\. Every model you deploy with Pallet belongs to a Project. **Create a New Project** for your model.

![](/files/-MME79L_X1VJmedrg19Q)

4\. **Choose a name** for your project and click **Create**.

![](/files/-MME79La5YiPsDVrwT1j)

5\. **Browse** or **Drag & Drop** the model assets that you prepared earlier, then click **Upload**.

![](/files/-MME79LWMAnC3yM4JzmO)

&#x20;   **And that's it!** Your model is now deployed.:white\_check\_mark:

6\. **Return** to the **Pallet app**, navigate to your **Profile** :bust\_in\_silhouette:, and **pull to refresh** your list of Projects.

Your new Project will appear. :sparkles:&#x20;

![](/files/-MME79LZ-qzqKw7cYJrv)

7\. **Tap** your Project to open a detailed view.&#x20;

With Pallet, classification models for photos work **out of the box**, so you don't need to **tune** any settings for this project right now. For other types of models, see the appropriate guide.

![](/files/-MMHGXFepDLdtsdQnMvY)

8\. Now **Launch** your app :rocket: \
(Skip the Tune Settings dialog by tapping *Launch*)

You can **immediately** start classifying photos by taking a picture with your camera, selecting a picture stored on your device, or submitting a link to an image.

![](/files/-MME79LYqglUbtesC1IG)

9\. **Congratulations** :tada:&#x20;

By deploying with Pallet, your model is infinitely **scalable**, easily **upgradable**, and ready to be **shared** with the world.