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Add configuration vault docs (#91)

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pollfly
2021-10-21 09:42:11 +03:00
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docs/faq.md
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@@ -489,7 +489,7 @@ experiment info panel > EXECUTION tab.
**I read there is a feature for centralized model storage. How do I use it?** <a id="centralized-model-storage"></a>
When calling [Task.init](references/sdk/task.md#classmethod-initproject_namenone-task_namenone-task_typetasktypestraining-training-tagsnone-reuse_last_task_idtrue-continue_last_taskfalse-output_urinone-auto_connect_arg_parsertrue-auto_connect_frameworkstrue-auto_resource_monitoringtrue-auto_connect_streamstrue),
When calling [Task.init](references/sdk/task.md#taskinit),
providing the `output_uri` parameter allows you to specify the location in which model checkpoints (snapshots) will be stored.
For example, to store model checkpoints (snapshots) in `/mnt/shared/folder`:
@@ -551,7 +551,7 @@ Yes! You can run ClearML in Jupyter Notebooks using either of the following:
pip install clearml
1. Use the [Task.set_credentials](references/sdk/task.md#classmethod-set_credentialsapi_hostnone-web_hostnone-files_hostnone-keynone-secretnone-store_conf_filefalse)
1. Use the [Task.set_credentials](references/sdk/task.md#taskset_credentials)
method to specify the host, port, access key and secret key (see step 1).
# Set your credentials using the trains apiserver URI and port, access_key, and secret_key.