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": "airplane",
    "1": "automobile",
    "2": "bird",
    "3": "cat",
    "4": "deer",
    "5": "dog",
    "6": "frog",
    "7": "horse",
    "8": "ship",
    "9": "truck"
  },
  "label2id": {
    "airplane": 0,
    "automobile": 1,
    "bird": 2,
    "cat": 3,
    "deer": 4,
    "dog": 5,
    "frog": 6,
    "horse": 7,
    "ship": 8,
    "truck": 9
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "output_hidden_states": true,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.20.1"
}