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articles/cognitive-services/Speech-Service/speech-container-cstt.md

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# [Disconnected container run](#tab/disconnected)
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To run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md#request-access-to-use-containers-in-disconnected-environments).
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To run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure Cognitive Services documentation.
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If you have been approved to run the container disconnected from the internet, the following example shows the formatting of the `docker run` command to use, with placeholder values. Replace these placeholder values with your own values.
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In order to prepare and configure the Custom Speech-to-Text container you will need two separate speech resources:
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1. A regular Azure Speech Service resource which is either configured to use a "**S0 - Standard**" pricing tier or a "**Speech to Text (Custom)**" commitment tier pricing plan. This will be used to train, download, and configure your custom speech models for use in your container.
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1. A regular Azure Speech Service resource which is either configured to use a "**S0 - Standard**" pricing tier or a "**Speech to Text (Custom)**" commitment tier pricing plan. This is used to train, download, and configure your custom speech models for use in your container.
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1. An Azure Speech Service resource which is configured to use the "**DC0 Commitment (Disconnected)**" pricing plan. This is used to download your disconnected container license file required to run the container in disconnected mode.
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Download the docker container and run it to get the required speech model as [described above](#get-the-container-image-with-docker-pull) using the regular Azure Speech resource. Next, you will need to download your disconnected license file.
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| Placeholder | Description |
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|-------------|-------|
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| `{IMAGE}` | The container image you want to use.<br/><br/>For example: `mcr.microsoft.com/azure-cognitive-services/speech-to-text` |
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| `{IMAGE}` | The container image you want to use.<br/><br/>For example: `mcr.microsoft.com/azure-cognitive-services/custom-speech-to-text:latest` |
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| `{LICENSE_MOUNT}` | The path where the license will be downloaded, and mounted.<br/><br/>For example: `/host/license:/path/to/license/directory` |
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| `{ENDPOINT_URI}` | The endpoint for authenticating your service request. You can find it on your resource's **Key and endpoint** page, on the Azure portal.<br/><br/>For example: `https://<your-resource-name>.cognitiveservices.azure.com` |
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| `{API_KEY}` | The key for your Speech resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal. |
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`{MEMORY_SIZE}` | The appropriate size of memory to allocate for your container. | `4g` |
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| `{NUMBER_CPUS}` | The appropriate number of CPUs to allocate for your container. | `4` |
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| `{LICENSE_MOUNT}` | The path where the license will be located and mounted. | `/host/license:/path/to/license/directory` |
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| `{OUTPUT_PATH}` | The output path for logging [usage records](../containers/disconnected-containers.md#usage-records). | `/host/output:/path/to/output/directory` |
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| `{OUTPUT_PATH}` | The output path for logging.<br/><br/>For example: `/host/output:/path/to/output/directory`<br/><br/>For more information, see [usage records](../containers/disconnected-containers.md#usage-records) in the Azure Cognitive Services documentation. |
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| `{MODEL_PATH}` | The path where the model is located. | `/path/to/model/` |
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| `{CONTAINER_LICENSE_DIRECTORY}` | Location of the license folder on the container's local filesystem. | `/path/to/license/directory` |
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| `{CONTAINER_OUTPUT_DIRECTORY}` | Location of the output folder on the container's local filesystem. | `/path/to/output/directory` |
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Mounts:Output={CONTAINER_OUTPUT_DIRECTORY}
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```
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The [Custom Speech-to-Text](../speech-service/speech-container-howto.md?tabs=cstt) container provides a default directory for writing the license file and billing log at runtime. The default directories are /license and /output respectively.
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The Custom Speech-to-Text container provides a default directory for writing the license file and billing log at runtime. The default directories are /license and /output respectively.
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When you're mounting these directories to the container with the `docker run -v` command, make sure the local machine directory is set ownership to `user:group nonroot:nonroot` before running the container.
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* Review [configure containers](speech-container-configuration.md) for configuration settings.
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* Learn how to [use Speech service containers with Kubernetes and Helm](speech-container-howto-on-premises.md).
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* Use more [Cognitive Services containers](../cognitive-services-container-support.md).
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* Use more [Azure Cognitive Services containers](../cognitive-services-container-support.md).
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articles/cognitive-services/Speech-Service/speech-container-howto.md

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By using containers, you can use a subset of the Speech service features in your own environment. In this article, you'll learn how to download, install, and run a Speech container.
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> [!NOTE]
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> Connected and disconnected container pricing and commitment tiers vary. For more information, see [Speech Services pricing](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/).
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> Disconnected container pricing and commitment tiers vary from standard containers. For more information, see [Speech Services pricing](https://azure.microsoft.com/pricing/details/cognitive-services/speech-services/).
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## Prerequisites
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## Run disconnected containers
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Tu run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md#request-access-to-use-containers-in-disconnected-environments).
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Tu run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure Cognitive Services documentation.
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## Next steps
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* Review [configure containers](speech-container-configuration.md) for configuration settings.
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* Learn how to [use Speech service containers with Kubernetes and Helm](speech-container-howto-on-premises.md).
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* Use more [Cognitive Services containers](../cognitive-services-container-support.md).
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* Use more [Azure Cognitive Services containers](../cognitive-services-container-support.md).
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articles/cognitive-services/Speech-Service/speech-container-lid.md

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# [Disconnected container run](#tab/disconnected)
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To run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md#request-access-to-use-containers-in-disconnected-environments).
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To run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure Cognitive Services documentation.
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If you have been approved to run the container disconnected from the internet, the following example shows the formatting of the `docker run` command to use, with placeholder values. Replace these placeholder values with your own values.
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`{MEMORY_SIZE}` | The appropriate size of memory to allocate for your container.<br/><br/>For example: `4g` |
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| `{NUMBER_CPUS}` | The appropriate number of CPUs to allocate for your container.<br/><br/>For example: `4` |
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| `{LICENSE_MOUNT}` | The path where the license will be located and mounted.<br/><br/>For example: `/host/license:/path/to/license/directory` |
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| `{OUTPUT_PATH}` | The output path for logging [usage records](../containers/disconnected-containers.md#usage-records).<br/><br/>For example: `/host/output:/path/to/output/directory` |
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| `{OUTPUT_PATH}` | The output path for logging.<br/><br/>For example: `/host/output:/path/to/output/directory`<br/><br/>For more information, see [usage records](../containers/disconnected-containers.md#usage-records) in the Azure Cognitive Services documentation. |
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| `{CONTAINER_LICENSE_DIRECTORY}` | Location of the license folder on the container's local filesystem.<br/><br/>For example: `/path/to/license/directory` |
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| `{CONTAINER_OUTPUT_DIRECTORY}` | Location of the output folder on the container's local filesystem.<br/><br/>For example: `/path/to/output/directory` |
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* Review [configure containers](speech-container-configuration.md) for configuration settings.
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* Learn how to [use Speech service containers with Kubernetes and Helm](speech-container-howto-on-premises.md).
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* Use more [Cognitive Services containers](../cognitive-services-container-support.md).
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* Use more [Azure Cognitive Services containers](../cognitive-services-container-support.md).
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articles/cognitive-services/Speech-Service/speech-container-ntts.md

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# [Disconnected container run](#tab/disconnected)
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To run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md#request-access-to-use-containers-in-disconnected-environments).
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To run disconnected containers (not connected to the internet), you must submit [this request form](https://aka.ms/csdisconnectedcontainers) and wait for approval. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure Cognitive Services documentation.
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If you have been approved to run the container disconnected from the internet, the following example shows the formatting of the `docker run` command to use, with placeholder values. Replace these placeholder values with your own values.
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`{MEMORY_SIZE}` | The appropriate size of memory to allocate for your container.<br/><br/>For example: `4g` |
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| `{NUMBER_CPUS}` | The appropriate number of CPUs to allocate for your container.<br/><br/>For example: `4` |
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| `{LICENSE_MOUNT}` | The path where the license will be located and mounted.<br/><br/>For example: `/host/license:/path/to/license/directory` |
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| `{OUTPUT_PATH}` | The output path for logging [usage records](../containers/disconnected-containers.md#usage-records).<br/><br/>For example: `/host/output:/path/to/output/directory` |
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| `{OUTPUT_PATH}` | The output path for logging.<br/><br/>For example: `/host/output:/path/to/output/directory`<br/><br/>For more information, see [usage records](../containers/disconnected-containers.md#usage-records) in the Azure Cognitive Services documentation. |
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| `{CONTAINER_LICENSE_DIRECTORY}` | Location of the license folder on the container's local filesystem.<br/><br/>For example: `/path/to/license/directory` |
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| `{CONTAINER_OUTPUT_DIRECTORY}` | Location of the output folder on the container's local filesystem.<br/><br/>For example: `/path/to/output/directory` |
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* Review [configure containers](speech-container-configuration.md) for configuration settings.
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* Learn how to [use Speech service containers with Kubernetes and Helm](speech-container-howto-on-premises.md).
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* Use more [Cognitive Services containers](../cognitive-services-container-support.md).
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* Use more [Azure Cognitive Services containers](../cognitive-services-container-support.md).
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articles/cognitive-services/Speech-Service/speech-container-overview.md

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| Container | Features | Supported versions and locales |
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| [Speech-to-text](speech-container-stt.md) | Analyzes sentiment and transcribes continuous real-time speech or batch audio recordings with intermediate results. | Latest: 3.12.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/speech-to-text/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/speech-to-text/tags/list).|
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| [Custom speech-to-text](speech-container-cstt.md) | Using a custom model from the [Custom Speech portal](https://speech.microsoft.com/customspeech), transcribes continuous real-time speech or batch audio recordings into text with intermediate results. | Latest: 3.12.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/custom-speech-to-text/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/speech-to-text/tags/list). |
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| [Speech-to-text](speech-container-stt.md) | Analyzes sentiment and transcribes continuous real-time speech or batch audio recordings with intermediate results. | Latest: 3.13.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/speech-to-text/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/speech-to-text/tags/list).|
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| [Custom speech-to-text](speech-container-cstt.md) | Using a custom model from the [Custom Speech portal](https://speech.microsoft.com/customspeech), transcribes continuous real-time speech or batch audio recordings into text with intermediate results. | Latest: 3.13.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/custom-speech-to-text/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/speech-to-text/tags/list). |
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| [Speech language identification](speech-container-lid.md)<sup>1, 2</sup> | Detects the language spoken in audio files. | Latest: 1.11.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/language-detection/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/language-detection/tags/list). |
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| [Neural text-to-speech](speech-container-ntts.md) | Converts text to natural-sounding speech by using deep neural network technology, which allows for more natural synthesized speech. | Latest: 2.11.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/neural-text-to-speech/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/neural-text-to-speech/tags/list). |
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| [Neural text-to-speech](speech-container-ntts.md) | Converts text to natural-sounding speech by using deep neural network technology, which allows for more natural synthesized speech. | Latest: 2.12.0<br/><br/>For all supported versions and locales, see the [Microsoft Container Registry (MCR)](https://mcr.microsoft.com/product/azure-cognitive-services/speechservices/neural-text-to-speech/tags) and [JSON tags](https://mcr.microsoft.com/v2/azure-cognitive-services/speechservices/neural-text-to-speech/tags/list). |
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<sup>1</sup> The container is available in public preview. Containers in preview are still under development and don't meet Microsoft's stability and support requirements.
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<sup>2</sup> Not available as a disconnected container.
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## Request approval to run the container
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To use the Speech containers, you must submit one of the following request forms and wait for approval:
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- [Connected containers request form](https://aka.ms/csgate) if you want to run containers regularly, in environments that are only connected to the internet.
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- [Disconnected Container request form](https://aka.ms/csdisconnectedcontainers) if you want to run containers in environments that can either be connected or disconnected from the internet. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md#request-access-to-use-containers-in-disconnected-environments).
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- [Disconnected Container request form](https://aka.ms/csdisconnectedcontainers) if you want to run containers in environments that can be disconnected from the internet. For more information about applying and purchasing a commitment plan to use containers in disconnected environments, see [Use containers in disconnected environments](../containers/disconnected-containers.md) in the Azure Cognitive Services documentation.
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The form requests information about you, your company, and the user scenario for which you'll use the container.
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