{
  "architectures": [
    "MobileNetV1ForImageClassification"
  ],
  "classifier_dropout_prob": 0.1,
  "depth_multiplier": 0.25,
  "hidden_act": "relu6",
  "image_size": 32,
  "initializer_range": 0.02,
  "layer_norm_eps": 0.001,
  "min_depth": 8,
  "model_type": "mobilenet_v1",
  "num_channels": 3,
  "tf_padding": true,
  "torch_dtype": "float32",
  "transformers_version": "4.28.0.dev0"
}