def METHOD_NAME(movenet_video):
    models = ["movenet-lightning", "movenet-thunder"]
    for model in models:
        inference_task = runners.InferenceTask(
            trained_job_paths=[model],
            inference_params={"tracking.tracker": None},
        )
        item_for_inference = runners.VideoItemForInference(
            video=movenet_video, frames=[1, 2, 3]
        )
        cli_args, output_path = inference_task.make_predict_cli_call(item_for_inference)
        # make sure cli call contains model
        assert cli_args[0] == "sleap-track"
        assert model in cli_args
        assert "--frames" in cli_args
        assert "--tracking.tracker" in cli_args