# cli.train { #axolotl.cli.train }

`cli.train`

CLI to run training on a model.

## Functions

| Name | Description |
| --- | --- |
| [do_cli](#axolotl.cli.train.do_cli) | Parses `axolotl` config, CLI args, and calls `do_train`. |
| [do_train](#axolotl.cli.train.do_train) | Trains a `transformers` model by first loading the dataset(s) specified in the |

### do_cli { #axolotl.cli.train.do_cli }

```python
cli.train.do_cli(config=Path('examples/'), **kwargs)
```

Parses `axolotl` config, CLI args, and calls `do_train`.

Args:
    config: Path to `axolotl` config YAML file.
    kwargs: Additional keyword arguments to override config file values.

### do_train { #axolotl.cli.train.do_train }

```python
cli.train.do_train(cfg, cli_args)
```

Trains a `transformers` model by first loading the dataset(s) specified in the
`axolotl` config, and then calling `axolotl.train.train`. Also runs the plugin
manager's `post_train_unload` once training completes.

Args:
    cfg: Dictionary mapping `axolotl` config keys to values.
    cli_args: Training-specific CLI arguments.
