config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "_num_labels": 12,
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "burj_khalifa",
    "1": "chichen_itza",
    "2": "christ_the_reedemer",
    "3": "eiffel_tower",
    "4": "great_wall_of_china",
    "5": "machu_pichu",
    "6": "pyramids_of_giza",
    "7": "roman_colosseum",
    "8": "statue_of_liberty",
    "9": "stonehenge",
    "10": "taj_mahal",
    "11": "venezuela_angel_falls"
  },
  "label2id": {
    "burj_khalifa": 0,
    "chichen_itza": 1,
    "christ_the_reedemer": 2,
    "eiffel_tower": 3,
    "great_wall_of_china": 4,
    "machu_pichu": 5,
    "pyramids_of_giza": 6,
    "roman_colosseum": 7,
    "statue_of_liberty": 8,
    "stonehenge": 9,
    "taj_mahal": 10,
    "venezuela_angel_falls": 11
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.48.0"
}