You can deploy Tabby on Spaces with just a few clicks:
[](https://huggingface.co/spaces/TabbyML/tabby-template-space?duplicate=true)
You need to define the Owner (your personal account or an organization), a Space name, and the Visibility. To secure the api endpoint, we're configuring the visibility as Private.

:::tip
If you want to customize the title, emojis, and colors of your space, go to "Files and Versions" and edit the metadata of your README.md file.
:::
You’ll see the Building status and once it becomes Running your space is ready to go. If you don’t see the Tabby swagger UI, try refreshing the page.

### Your Tabby Space URL
Once Tabby is running, you can use the UI with the <u>Direct URL</u> in the **Embed this Space** option (top right).
You’ll see a URL like this: https://tabbyml-tabby.hf.space. This URL gives you access to a full-screen, stable Tabby instance, and is the API Endpoint for IDE / Editor Extensions to talk with.
### Connect VSCode Extension to Space backend
1. Install the [VSCode Extension](https://marketplace.visualstudio.com/items?itemName=TabbyML.vscode-tabby).
2. Open the file located at `~/.tabby-client/agent/config.toml`. Uncomment both the `[server]` section and the `[server.requestHeaders]` section.
* Set the endpoint to the Direct URL you found in the previous step, which should look something like `https://UserName-SpaceName.hf.space`.
* As the space is set to **Private**, it is essential to configure the authorization header for accessing the endpoint. You can obtain a token from the [Access Tokens](https://huggingface.co/settings/tokens) page.
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3. You'll notice a ✓ icon indicating a successful connection.

4. You've complete the setup, now enjoy tabing!
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You can also utilize Tabby extensions in other IDEs, such as [JetBrains](https://plugins.jetbrains.com/plugin/22379-tabby).