config.json

{
  "_name_or_path": "microsoft/resnet-152",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    8,
    36,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9,
    "10": 10,
    "11": 11,
    "12": 12,
    "13": 13,
    "14": 14,
    "15": 15,
    "16": 16,
    "17": 17,
    "18": 18,
    "19": 19,
    "20": 20,
    "21": 21,
    "22": 22,
    "23": 23,
    "24": 24,
    "25": 25,
    "26": 26,
    "27": 27,
    "28": 28,
    "29": 29
  },
  "label2id": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9,
    "10": 10,
    "11": 11,
    "12": 12,
    "13": 13,
    "14": 14,
    "15": 15,
    "16": 16,
    "17": 17,
    "18": 18,
    "19": 19,
    "20": 20,
    "21": 21,
    "22": 22,
    "23": 23,
    "24": 24,
    "25": 25,
    "26": 26,
    "27": 27,
    "28": 28,
    "29": 29
  },
  "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": "4.39.3"
}