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": "Italian",
    "1": "Russian",
    "2": "Mexican",
    "3": "French",
    "4": "Belgian",
    "5": "Spanish",
    "6": "Dutch",
    "7": "Austrian",
    "8": "Flemish",
    "9": "Spanish,Greek",
    "10": "German",
    "11": "French,British",
    "12": "French,Jewish,Belarusian",
    "13": "British",
    "14": "Norwegian",
    "15": "German,Swiss",
    "16": "American"
  },
  "label2id": {
    "American": 16,
    "Austrian": 7,
    "Belgian": 4,
    "British": 13,
    "Dutch": 6,
    "Flemish": 8,
    "French": 3,
    "French,British": 11,
    "French,Jewish,Belarusian": 12,
    "German": 10,
    "German,Swiss": 15,
    "Italian": 0,
    "Mexican": 2,
    "Norwegian": 14,
    "Russian": 1,
    "Spanish": 5,
    "Spanish,Greek": 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": "4.47.1"
}