config.json

{
  "architecture": "tf_efficientnet_lite2",
  "num_classes": 1000,
  "num_features": 1280,
  "pretrained_cfg": {
    "custom_load": false,
    "input_size": [
      3,
      260,
      260
    ],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 0.89,
    "crop_mode": "center",
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "std": [
      0.5,
      0.5,
      0.5
    ],
    "num_classes": 1000,
    "pool_size": [
      9,
      9
    ],
    "first_conv": "conv_stem",
    "classifier": "classifier"
  }
}