> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getlimina.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Container Quickstart

> This quickstart guide will help you get started with setting up the Limina PII de-identification Docker container on your local machine.

This quickstart guide covers how to set up and run the Limina container.

<Card href="/ja/container-quickstart/quickstart-guide" icon="globe" horizontal>
  日本語
</Card>

<Info>
  If you'd like to use the Limina-hosted API, which includes the free demo, please create a [portal account](https://portal.getlimina.ai) and use the code examples provided in the portal.
</Info>

## Getting Started

### Access the Customer Portal

When onboarded, you'll receive a customer portal account. Log in to access your license file and container registry credentials. Contact support at [support@getlimina.ai](mailto:support@getlimina.ai) if needed.

### Download License and Pull Container

1. **Download your license file** from the portal (top right of the main page).

2. **Login to the container registry** using the command provided in the portal:
   ```shell theme={"theme":"poimandres"}
   docker login -u INSERT_UNIQUE_CLIENT_ID -p INSERT_UNIQUE_CLIENT_PW crprivateaiprod.azurecr.io
   ```

<Info>
  Container versions: `cpu`, `cpu-text`, `gpu`, `gpu-text` Use text-only versions for text processing only. See [Grabbing the Image](/installation/grabbing-the-image) for details.
</Info>

## Running the Container

### CPU Version

Mount your license file and run:

```shell theme={"theme":"poimandres"}
docker run --rm -v "/path/to/license.json":/app/license/license.json \
-p 8080:8080 -it crprivateaiprod.azurecr.io/deid:<version>-cpu
```

### GPU Version

Install the [Nvidia Container Toolkit](/installation/prerequisites-and-system-requirements) first, then run:

```shell theme={"theme":"poimandres"}
docker run --gpus '"device=0"' --shm-size=4g --rm -v "/path/to/license.json":/app/license/license.json \
-p 8080:8080 -it crprivateaiprod.azurecr.io/deid:<version>-gpu
```

## Sending a test request

Send text for processing:

```shell lines wrap cURL theme={"theme":"poimandres"}
curl --request POST --url http://localhost:8080/process/text \
--header 'Content-Type: application/json' \
--data '{"text": ["Hello John"]}'
```

## Next steps

Check out the [Usage quickstart](/container-quickstart/api-quickstart) to learn more about the API features.

Review the [Rollout checklist](/container-quickstart/deployment-checklist) for next steps on how to prepare for an initial deployment.