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": "annual crop",
    "1": "forest",
    "2": "herbaceous vegetation",
    "3": "highway",
    "4": "industrial",
    "5": "pasture",
    "6": "permanent crop",
    "7": "residential",
    "8": "river",
    "9": "sea or lake"
  },
  "label2id": {
    "annual crop": 0,
    "forest": 1,
    "herbaceous vegetation": 2,
    "highway": 3,
    "industrial": 4,
    "pasture": 5,
    "permanent crop": 6,
    "residential": 7,
    "river": 8,
    "sea or lake": 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"
}