config.json

{
  "_name_or_path": "timm/vit_base_patch16_224.augreg2_in21k_ft_in1k",
  "architecture": "vit_base_patch16_224",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "do_pooling": true,
  "global_pool": "token",
  "initializer_range": 0.02,
  "label_names": [
    "abyssinian",
    "american_bulldog",
    "american_pit_bull_terrier",
    "basset_hound",
    "beagle",
    "bengal",
    "birman",
    "bombay",
    "boxer",
    "british_shorthair",
    "chihuahua",
    "egyptian_mau",
    "english_cocker_spaniel",
    "english_setter",
    "german_shorthaired",
    "great_pyrenees",
    "havanese",
    "japanese_chin",
    "keeshond",
    "leonberger",
    "maine_coon",
    "miniature_pinscher",
    "newfoundland",
    "persian",
    "pomeranian",
    "pug",
    "ragdoll",
    "russian_blue",
    "saint_bernard",
    "samoyed",
    "scottish_terrier",
    "shiba_inu",
    "siamese",
    "sphynx",
    "staffordshire_bull_terrier",
    "wheaten_terrier",
    "yorkshire_terrier"
  ],
  "model_type": "timm_wrapper",
  "num_classes": 37,
  "num_features": 768,
  "pretrained_cfg": {
    "classifier": "head",
    "crop_mode": "center",
    "crop_pct": 0.9,
    "custom_load": false,
    "first_conv": "patch_embed.proj",
    "fixed_input_size": true,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bicubic",
    "mean": [
      0.5,
      0.5,
      0.5
    ],
    "pool_size": null,
    "std": [
      0.5,
      0.5,
      0.5
    ],
    "tag": "augreg2_in21k_ft_in1k"
  },
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.48.1"
}