code: def get_model_config(self, use_model_name=False):
      model_config = {
          "name": "efficientnet",
          "model_params": {
              "width_coefficient": 1.1,
              "depth_coefficient": 1.2,
              "resolution": 260,
              "dropout_rate": 0.3,
          },
          "bn_momentum": 0.01,
          "bn_epsilon": 1e-3,
          "drop_connect_rate": 0.2,
          "num_classes": 1000,
          "width_divisor": 8,
          "min_width": None,
          "use_se": True,
      }
      if use_model_name:
          del model_config["model_params"]
          model_config["model_name"] = "B2"
      return model_config
  
file_path: ClassyVision/test/models_efficientnet_test.py
imports: import unittest
  import torch
  from classy_vision.models import build_model, EfficientNet
label_desc: Use image node_id 1 for calling the TestEfficientNetModel obj's underlying member method code with example usage: obj.get_model_config(use_model_name) and returns: model_config