| """ | |
| CLI to run inference on a trained model | |
| """ | |
| from pathlib import Path | |
| import fire | |
| import transformers | |
| from axolotl.cli import ( | |
| do_inference, | |
| do_inference_gradio, | |
| load_cfg, | |
| print_axolotl_text_art, | |
| ) | |
| from axolotl.common.cli import TrainerCliArgs | |
| def do_cli(config: Path = Path("examples/"), gradio=False, **kwargs): | |
| # pylint: disable=duplicate-code | |
| print_axolotl_text_art() | |
| parsed_cfg = load_cfg(config, **kwargs) | |
| parsed_cfg.sample_packing = False | |
| parser = transformers.HfArgumentParser((TrainerCliArgs)) | |
| parsed_cli_args, _ = parser.parse_args_into_dataclasses( | |
| return_remaining_strings=True | |
| ) | |
| parsed_cli_args.inference = True | |
| if gradio: | |
| do_inference_gradio(cfg=parsed_cfg, cli_args=parsed_cli_args) | |
| else: | |
| do_inference(cfg=parsed_cfg, cli_args=parsed_cli_args) | |
| if __name__ == "__main__": | |
| fire.Fire(do_cli) | |