quartodoc integration

docs/api/cli.train.qmd

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+# 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.