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": "chicken",
    "1": "dog",
    "2": "muffin"
  },
  "label2id": {
    "chicken": 0,
    "dog": 1,
    "muffin": 2
  },
  "layer_type": "basic",
  "model_type": "resnet",
  "num_channels": 3,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.20.1"
}