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pollfly
2023-06-26 13:33:00 +03:00
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docs/integrations/yolov5.md
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@@ -141,7 +141,7 @@ ClearML dataset page: https://app.clear.mli/datasets/simple/<project-id>/experim
New dataset created id=<dataset-id>
```
### Run Training Using A ClearML Dataset
### Run Training Using a ClearML Dataset
Now that you have a ClearML dataset, you can very simply use it to train custom YOLOv5 models:
```commandline
@@ -167,7 +167,7 @@ agents on new remote machines in the cloud of your choice (AWS, GCP, Azure): The
shuts down instances as needed, according to the budget that you set.
### Cloning, Editing, And Enqueuing
### Cloning, Editing, and Enqueuing
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif)
@@ -179,7 +179,7 @@ with the new details on a remote machine:
The ClearML Agent executing the task will use the new values to [override any hard coded values](../clearml_agent.md).
### Executing A Task Remotely
### Executing a Task Remotely
You can set a task to be executed remotely programmatically by adding `Task.execute_remotely()` to your script. This
method stops the current local execution of the task, and then enqueues it to a specified queue to re-run it on a remote machine.