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@@ -6,7 +6,7 @@ ClearML Task is ClearML's Zero Code Integration Module. Using only the command l
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you can easily track your work and integrate ClearML with your existing code.
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`clearml-task` automatically integrates ClearML into any script or **any** python repository. `clearml-task` has the option
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to send the task to a queue, where a **ClearML Agent** listening to the queue will fetch the task and execute it on a
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to send the task to a queue, where a ClearML Agent assigned to the queue fetches the task and executes it on a
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remote or local machine. It's even possible to provide command line arguments and provide Python module dependencies and requirements.txt file!
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## How Does ClearML Task Work?
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@@ -14,8 +14,8 @@ remote or local machine. It's even possible to provide command line arguments an
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1. Execute `clearml-task`, pointing it to your script or repository, and optionally an execution queue.
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1. `clearml-task` does its magic! It creates a new experiment on the [ClearML Server](../deploying_clearml/clearml_server.md),
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and, if a queue was specified, it sends the experiment to the queue to be fetched and executed by a **ClearML Agent**.
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1. The command line will provide you with a link to your task's page in the ClearML web UI,
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where you will be able to view the task's details.
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1. The command line provides you with a link to your task's page in the ClearML web UI,
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where you can view the task's details.
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## Features and Options
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### Docker
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