loaded_dict = {
    'model_name': 'efficientdet-lite3', 
    'uri': './local_dl', 
    'batch_size': 64, 
    'strategy': None, 
    'tflite_max_detections': 25, 
    'moving_average_decay': 0, 
    'var_freeze_expr': '(efficientnet|fpn_cells|resample_p6)', 
    'verbose': 0, 
    'profile': False, 
    'steps_per_execution': 1, 
    'model_dir': 'C:\\Users\\username\\AppData\\Local\\Temp\\tmpunzugbps',
    'tf_random_seed': 111111, 
    'debug': False
}

new_spec = object_detector.EfficientDetLite3Spec(**loaded_dict) 

model = object_detector.create(
    train_data, 
    model_spec=new_spec, 
    batch_size=4, 
    train_whole_model=True, 
    epochs=200, 
    validation_data=val_data
)