config.json

{
  "architecture": "resnet50_clip_gap",
  "num_classes": 0,
  "num_features": 2048,
  "global_pool": "avg",
  "pretrained_cfg": {
    "tag": "cc12m",
    "custom_load": false,
    "input_size": [
      3,
      224,
      224
    ],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 0.9,
    "crop_mode": "center",
    "mean": [
      0.48145466,
      0.4578275,
      0.40821073
    ],
    "std": [
      0.26862954,
      0.26130258,
      0.27577711
    ],
    "num_classes": 0,
    "pool_size": [
      7,
      7
    ],
    "first_conv": "stem.conv1.conv",
    "classifier": "head.fc"
  }
}