config.json

{
  "architecture": "resnext50d_32x4d",
  "num_classes": 1000,
  "num_features": 2048,
  "model_args": {
    "layers": [
      3,
      4,
      23,
      3
    ],
    "cardinality": 32,
    "base_width": 4,
    "stem_width": 32,
    "stem_type": "deep",
    "avg_down": true
  },
  "pretrained_cfg": {
    "tag": "bt_in1k",
    "custom_load": false,
    "input_size": [
      3,
      224,
      224
    ],
    "test_input_size": [
      3,
      288,
      288
    ],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 0.875,
    "test_crop_pct": 0.95,
    "crop_mode": "center",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "num_classes": 1000,
    "pool_size": [
      7,
      7
    ],
    "first_conv": "conv1.0",
    "classifier": "fc",
    "origin_url": "https://github.com/huggingface/pytorch-image-models"
  }
}