> 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 [
](https://play.google.com/store/apps/details?id=com.palletml.app)
and **Sign Up** to create a new account
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.
3\. Every model you deploy with Pallet belongs to a Project. **Create a New Project** for your model.
4\. **Choose a name** for your project and click **Create**.
5\. **Browse** or **Drag & Drop** the model assets that you prepared earlier, then click **Upload**.
**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:
7\. **Tap** your Project to open a detailed view.
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.
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.
9\. **Congratulations** :tada:
By deploying with Pallet, your model is infinitely **scalable**, easily **upgradable**, and ready to be **shared** with the world.
---
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