{
  "_attn_implementation_autoset": true,
  "_name_or_path": "hf-internal-testing/tiny-random-MobileNetV1ForImageClassification",
  "architectures": [
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  ],
  "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,
  "transformers_version": "4.48.2"
}