{
  "_name_or_path": "google/mobilenet_v2_1.0_224",
  "architectures": [
    "MobileNetV2ForImageClassification"
  ],
  "classifier_dropout_prob": 0.2,
  "depth_divisible_by": 8,
  "depth_multiplier": 1.0,
  "expand_ratio": 6,
  "finegrained_output": true,
  "first_layer_is_expansion": true,
  "hidden_act": "relu6",
  "id2label": {
    "0": "airplane",
    "1": "automobile",
    "2": "bird",
    "3": "cat",
    "4": "deer",
    "5": "dog",
    "6": "frog",
    "7": "horse",
    "8": "ship",
    "9": "truck"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "airplane": "0",
    "automobile": "1",
    "bird": "2",
    "cat": "3",
    "deer": "4",
    "dog": "5",
    "frog": "6",
    "horse": "7",
    "ship": "8",
    "truck": "9"
  },
  "layer_norm_eps": 0.001,
  "min_depth": 8,
  "model_type": "mobilenet_v2",
  "num_channels": 3,
  "output_stride": 32,
  "problem_type": "single_label_classification",
  "semantic_loss_ignore_index": 255,
  "tf_padding": true,
  "torch_dtype": "float32",
  "transformers_version": "4.35.2"
}