{
  "architectures": [
    "ResNetModel"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "torch_dtype": "float32",
  "transformers_version": "4.24.0"
}