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