config.json

{
  "_name_or_path": "microsoft/resnet-18",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    2,
    2,
    2,
    2
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    64,
    128,
    256,
    512
  ],
  "id2label": {
    "0": "Grey",
    "1": "Beige",
    "2": "Green",
    "3": "Orange",
    "4": "Yellow",
    "5": "Blue",
    "6": "Brown",
    "7": "Red",
    "8": "White",
    "9": "Silver",
    "10": "Black"
  },
  "label2id": {
    "Beige": 1,
    "Black": 10,
    "Blue": 5,
    "Brown": 6,
    "Green": 2,
    "Grey": 0,
    "Orange": 3,
    "Red": 7,
    "Silver": 9,
    "White": 8,
    "Yellow": 4
  },
  "layer_type": "basic",
  "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": "4.33.0"
}