config.json

{
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    2,
    2,
    2,
    2
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "dtype": "float32",
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    64,
    128,
    256,
    512
  ],
  "id2label": {
    "0": "bowl",
    "1": "fork",
    "2": "glass",
    "3": "knife",
    "4": "mug",
    "5": "pan",
    "6": "plate",
    "7": "spatula",
    "8": "spoon",
    "9": "whisk"
  },
  "label2id": {
    "bowl": "0",
    "fork": "1",
    "glass": "2",
    "knife": "3",
    "mug": "4",
    "pan": "5",
    "plate": "6",
    "spatula": "7",
    "spoon": "8",
    "whisk": "9"
  },
  "layer_type": "basic",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "transformers_version": "4.57.1"
}