config.json

{
  "_name_or_path": "microsoft/resnet-152",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    8,
    36,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Black-grass",
    "1": "Charlock",
    "10": "Small-flowered Cranesbill",
    "11": "Sugar beet",
    "2": "Cleavers",
    "3": "Common Chickweed",
    "4": "Common wheat",
    "5": "Fat Hen",
    "6": "Loose Silky-bent",
    "7": "Maize",
    "8": "Scentless Mayweed",
    "9": "Shepherds Purse"
  },
  "label2id": {
    "Black-grass": "0",
    "Charlock": "1",
    "Cleavers": "2",
    "Common Chickweed": "3",
    "Common wheat": "4",
    "Fat Hen": "5",
    "Loose Silky-bent": "6",
    "Maize": "7",
    "Scentless Mayweed": "8",
    "Shepherds Purse": "9",
    "Small-flowered Cranesbill": "10",
    "Sugar beet": "11"
  },
  "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": "4.28.1"
}