## CLI Basics
If you want to train, validate or run inference on models and don't need to make any modifications to the code, using YOLO command line interface is the easiest way to get started.

!!! tip "Syntax"
    ```bash
    yolo task=detect    mode=train  model=s.yaml    epochs=1 ...
                ...           ...           ...
              segment        infer        s-cls.pt
              classify        val         s-seg.pt
    ```

The experiment arguments can be overridden directly by pass `arg=val` covered in the next section. You can run any supported task by setting `task` and `mode` in cli.
=== "Training"

    |                    | `task`          | snippet                                                     |
    | -----------        | -------------   | ----------------------------------------------------------- |
    |  Detection         |  `detect`       | <pre><code>yolo task=detect mode=train       </code></pre>  |
    |  Instance Segment  |  `segment`      | <pre><code>yolo task=segment mode=train      </code></pre>  |
    |  Classification    |  `classify`     | <pre><code>yolo task=classify mode=train    </code></pre>   |

=== "Inference"

    |                    | `task`          | snippet                                                      |
    | -----------        | -------------   | ------------------------------------------------------------ |
    |  Detection         |  `detect`       | <pre><code>yolo task=detect mode=infer       </code></pre>   |
    |  Instance Segment  |  `segment`      | <pre><code>yolo task=segment mode=infer     </code></pre>    |
    |  Classification    |  `classify`     | <pre><code>yolo task=classify mode=infer    </code></pre>    |

=== "Validation"

    |                    | `task`          | snippet                                                       |
    | -----------        | -------------   | ------------------------------------------------------------- |
    |  Detection         |  `detect`       | <pre><code>yolo task=detect mode=val        </code></pre>     |
    |  Instance Segment  |  `segment`      | <pre><code>yolo task=segment mode=val       </code></pre>     |
    |  Classification    |  `classify`     | <pre><code>yolo task=classify mode=val      </code></pre>     |

!!! note ""
    <b>Note:</b> The arguments don't require `'--'` prefix. These are reserved for special commands covered later
---
## Overriding default config arguments
All global default arguments can be overriden by simply passing them as arguments in the cli.
!!! tip ""
    === "Syntax"
        ```yolo task= ... mode= ... {++ arg=val ++}```

    === "Example"
        Perform detection training for `10 epochs` with `learning_rate` of `0.01`
        ```
        yolo task=detect mode=train {++ epochs=10 lr0=0.01 ++}

        ```
---
## Overriding default config file
You can override config file entirely by passing a new file. You can create a copy of default config file in your current working dir as follows:
```bash
yolo task=init
```
You can then use special `--cfg name.yaml` command to pass the new config file
```bash
yolo task=detect mode=train {++ --cfg default.yaml ++}
```

??? example
    === "Command"
        ```
        yolo task=init
        yolo task=detect mode=train --cfg default.yaml
        ```
    === "Result"
        TODO: add terminal output