config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "buildings",
    "1": "forest",
    "2": "glacier",
    "3": "mountain",
    "4": "sea",
    "5": "street"
  },
  "label2id": {
    "buildings": 0,
    "forest": 1,
    "glacier": 2,
    "mountain": 3,
    "sea": 4,
    "street": 5
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0"
}