config.json

{
  "architecture": "mobilenetv3_small_100",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "do_pooling": true,
  "dtype": "float32",
  "initializer_range": 0.02,
  "label_names": [
    "10",
    "9",
    "ACE",
    "BLACK_DIAMOND_NO_NUDGE",
    "BLACK_DIAMOND_NUDGE_DOWN",
    "BONUS_RETRIGGERED",
    "DOUBLE_BAR",
    "DUDE",
    "FAN",
    "FOUNTAIN",
    "GOLD_BIRD",
    "GOLD_COIN",
    "GOLD_COIN_BONUS",
    "GOLD_COIN_NO_BONUS",
    "GOLD_DRAGON",
    "GOLD_SHIP",
    "GOLD_TURTLE",
    "JACK",
    "KING",
    "LADY",
    "QUEEN",
    "VASE",
    "WILD",
    "YING_YANG"
  ],
  "model_args": null,
  "model_type": "timm_wrapper",
  "num_classes": 24,
  "num_features": 1024,
  "pretrained_cfg": {
    "classifier": "classifier",
    "crop_mode": "center",
    "crop_pct": 0.875,
    "custom_load": false,
    "first_conv": "conv_stem",
    "fixed_input_size": false,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bicubic",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "pool_size": [
      7,
      7
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "tag": "lamb_in1k"
  },
  "problem_type": "single_label_classification",
  "transformers_version": "5.8.1",
  "use_cache": false
}