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2
docs/apps/clearml_session.md
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@ -153,7 +153,7 @@ The Task must be connected to a git repository, since currently single script de
1. In JupyterLab / VS Code, access the experiment's repository in the `environment/task_repository` folder.
### Command Line Options
## Command Line Options
<div className="tbl-cmd">

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docs/configs/env_vars.md
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@ -48,7 +48,7 @@ Overrides Repository Auto-logging
|**CLEARML_API_ACCESS_KEY** | Sets the Server's Public Access Key|
|**CLEARML_API_SECRET_KEY** | Sets the Server's Private Access Key|
|**CLEARML_API_HOST_VERIFY_CERT** | Enables / Disables server certificate verification (if behind a firewall)|
|**CLEARML_API_DEFAULT_REQ_METHOD**| *Experimental - this option has not been vigorously tested.*. Set the request method for all API requests and auth login. This could be useful when GET requests with payloads are blocked by a server, so POST/PUT requests can be used instead. |
|**CLEARML_API_DEFAULT_REQ_METHOD**| *Experimental - this option has not been vigorously tested.* Set the request method for all API requests and auth login. This could be useful when GET requests with payloads are blocked by a server, so POST/PUT requests can be used instead. |
|**CLEARML_OFFLINE_MODE** | Sets Offline mode|
|**CLEARML_NO_DEFAULT_SERVER** | Disables sending information to demo server when no HOST server is set|

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docs/webapp/webapp_workers_queues.md
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@ -41,7 +41,7 @@ dashboard.
For more information about how autoscalers work, see the [Cloud Autoscaling Overview](../cloud_autoscaling/autoscaling_overview.md).
For more information about a specific autoscaler, see [GPU Compute](applications/apps_gpu_compute.md), [AWS Autoscaler](applications/apps_aws_autoscaler.md),
and/or [GCP Autoscaler](applications/apps_gpu_compute.md).
and/or [GCP Autoscaler](applications/apps_gcp_autoscaler.md).
![Cloud autoscalers](../img/webapp_orchestration_autoscalers.png)