config.json

{
  "architecture": "convnext_nano",
  "num_classes": 512,
  "num_features": 640,
  "pretrained_cfg": {
    "input_size": [3, 112, 112],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 1.0,
    "crop_mode": "center",
    "mean": [0.5, 0.5, 0.5],
    "std": [0.5, 0.5, 0.5],
    "num_classes": 512,
    "pool_size": [7, 7],
    "first_conv": "stem.0",
    "classifier": "head.fc"
  },
  "model_args": {
    "patch_size": 2
  }
}