# 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](https://guide.palletml.com/models/download-pre-built-models) to get started quickly.
{% endhint %}

## Deploy Your Model With Pallet

1\. **Install Pallet** from the Google Play Store  [<img src="https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMHNms6x2ydvmS5g-UM%2F-MMHOOWLngU6h8IAfmHV%2Fbadge.svg?alt=media&#x26;token=a016fd49-2b26-4d5b-a90a-28e4f4733e1e" 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

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79LcfyoP4lB6WgAJ%2Fsign_up_1.png?generation=1605497827230554\&alt=media)

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.

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79LbZYnX1PSKBBT2%2FScreen_Shot_2020-11-06_at_12.48.45_AM.png?generation=1605497827689175\&alt=media)

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

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79L_X1VJmedrg19Q%2FScreen_Shot_2020-11-06_at_1.33.15_AM.png?generation=1605497827236433\&alt=media)

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

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79La5YiPsDVrwT1j%2FScreen_Shot_2020-11-06_at_1.39.21_AM.png?generation=1605497827192265\&alt=media)

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

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79LWMAnC3yM4JzmO%2Fezgif-4-b29a79c113f1.gif?generation=1605497827229144\&alt=media)

&#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;

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79LZ-qzqKw7cYJrv%2Fpull_to_refresh.gif?generation=1605497827224748\&alt=media)

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.

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MME5PNg63VnuK-9c9y9%2F-MMH8CT5OIZxaWwEfIvk%2F-MMHGXFepDLdtsdQnMvY%2FArtboard.png?alt=media\&token=7d4c7f1d-a912-49fd-9d17-7c71683aa53f)

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.

![](https://2699314397-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2Fpalletml-guides%2F-MME6l3gHaIKJFF84Dbb%2F-MME79LYqglUbtesC1IG%2Fnew_classification.gif?generation=1605497827405740\&alt=media)

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

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