config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "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": "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,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.35.0"
}