config.json

{
  "architecture": "swinv2_base_window8_256",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "do_pooling": true,
  "dtype": "float32",
  "global_pool": "avg",
  "initializer_range": 0.02,
  "label_names": [
    "masterpiece",
    "best",
    "great",
    "good",
    "normal",
    "low",
    "worst"
  ],
  "model_args": {
    "act_layer": "gelu_tanh",
    "img_size": 448,
    "window_size": 14
  },
  "model_type": "timm_wrapper",
  "num_classes": 7,
  "num_features": 1024,
  "pretrained_cfg": {
    "classifier": null,
    "crop_mode": "squash",
    "crop_pct": 1.0,
    "custom_load": false,
    "first_conv": null,
    "fixed_input_size": false,
    "input_size": [
      3,
      448,
      448
    ],
    "interpolation": "bilinear",
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "pool_size": null,
    "std": [
      0.5,
      0.5,
      0.5
    ]
  },
  "transformers_version": "4.57.1"
}