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Small edits (#636)
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@@ -24,7 +24,6 @@ And that’s it! This creates a [ClearML Task](../fundamentals/task.md) which ca
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* Scalars logged to popular frameworks like TensorBoard
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* Console output
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* General details such as machine details, runtime, creation date etc.
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* And more
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You can view all the task details in the [WebApp](../webapp/webapp_overview.md).
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@@ -20,7 +20,7 @@ built in logger:
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1. To keep track of your experiments and/or data, ClearML needs to communicate to a server. You have 2 server options:
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* Sign up for free to the [ClearML Hosted Service](https://app.clear.ml/)
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* Set up your own server, see [here](../deploying_clearml/clearml_server.md).
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1. Connect the ClearML SDK to the server by creating credentials (go to the top right in to UI to **Settings > Workspace > Create new credentials**),
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1. Connect the ClearML SDK to the server by creating credentials (go to the top right in the UI to **Settings > Workspace > Create new credentials**),
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then execute the command below and follow the instructions:
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```commandline
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@@ -31,7 +31,7 @@ segmentation, and classification. Get the most out of YOLOv8 with ClearML:
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1. To keep track of your experiments and/or data, ClearML needs to communicate to a server. You have 2 server options:
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* Sign up for free to the [ClearML Hosted Service](https://app.clear.ml/)
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* Set up your own server, see [here](../deploying_clearml/clearml_server.md).
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1. Connect the ClearML SDK to the server by creating credentials (go to the top right in to UI to **Settings > Workspace > Create new credentials**),
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1. Connect the ClearML SDK to the server by creating credentials (go to the top right in the UI to **Settings > Workspace > Create new credentials**),
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then execute the command below and follow the instructions:
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```commandline
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