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articles/machine-learning/how-to-train-with-ui.md

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@@ -130,17 +130,10 @@ Here, the source code is in the `src` subdirectory. The command would be `python
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#### Inputs
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There are two ways to do input binding:
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When you use an input in the command, you need to specify the input name. To indicate an input variable, use the form `${{inputs.input_name}}`. For instance, `${{inputs.wiki}}`. You can then refer to it in the command, for instance, `--data ${{inputs.wiki}}`.
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* Input name: When you use an input in the command, you need to specify the input name. To indicate an input variable, use the form `{inputs.input_name}`. For instance, `{inputs.wiki}`. You can then refer to it in the command, for instance, `--data {inputs.wiki}`.
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[![Refer input name in the command](media/how-to-train-with-ui/input-command-name.png)](media/how-to-train-with-ui/input-command-name.png)
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* Path: You can use `--data .path` to specify a cloud location. The path is what you enter in the **Path on compute** field.
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[![Refer input path in the command](media/how-to-train-with-ui/input-command-path.png)](media/how-to-train-with-ui/input-command-path.png)
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>[!NOTE]
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>In the **command to start the job**, you must add a period to the **Path on compute** value. For instance, `/data/wikitext-2` becomes `./data/wikitext-2`.
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## Review and Create
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Once you've configured your job, choose **Next** to go to the **Review** page. To modify a setting, choose the pencil icon and make the change.
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