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{
  "architectures": [
    "RegNetModel"
  ],
  "depths": [
    2,
    5,
    12,
    1
  ],
  "downsample_in_first_stage": true,
  "embedding_size": 32,
  "groups_width": 232,
  "hidden_act": "relu",
  "hidden_sizes": [
    232,
    696,
    1392,
    3712
  ],
  "layer_type": "y",
  "model_type": "regnet",
  "num_channels": 3,
  "torch_dtype": "float32",
  "transformers_version": "4.18.0.dev0"
}