config.json

{
  "architecture": "tf_efficientnetv2_s",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "do_pooling": true,
  "dtype": "float32",
  "initializer_range": 0.02,
  "label_names": [
    "0",
    "1"
  ],
  "model_args": null,
  "model_type": "timm_wrapper",
  "num_classes": 2,
  "num_features": 1280,
  "pretrained_cfg": {
    "classifier": "classifier",
    "crop_mode": "center",
    "crop_pct": 1.0,
    "custom_load": false,
    "first_conv": "conv_stem",
    "fixed_input_size": false,
    "input_size": [
      3,
      300,
      300
    ],
    "interpolation": "bicubic",
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "pool_size": [
      10,
      10
    ],
    "std": [
      0.5,
      0.5,
      0.5
    ],
    "tag": "in21k",
    "test_input_size": [
      3,
      384,
      384
    ]
  },
  "problem_type": "single_label_classification",
  "transformers_version": "5.2.0",
  "use_cache": false
}