config.json

{
  "_name_or_path": "microsoft/resnet-101",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    23,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Accordion",
    "1": "Black",
    "2": "Button",
    "3": "Cards",
    "4": "Checkbox",
    "5": "Date-time",
    "6": "Dropdown_closed",
    "7": "Form",
    "8": "Input",
    "9": "Multi-Node_horizontal",
    "10": "Multi-Node_vertical",
    "11": "Progress_circular",
    "12": "Progress_linear",
    "13": "Progress_stepper",
    "14": "Radio",
    "15": "Sections",
    "16": "Slider",
    "17": "Switch",
    "18": "Text-area",
    "19": "White"
  },
  "label2id": {
    "Accordion": 0,
    "Black": 1,
    "Button": 2,
    "Cards": 3,
    "Checkbox": 4,
    "Date-time": 5,
    "Dropdown_closed": 6,
    "Form": 7,
    "Input": 8,
    "Multi-Node_horizontal": 9,
    "Multi-Node_vertical": 10,
    "Progress_circular": 11,
    "Progress_linear": 12,
    "Progress_stepper": 13,
    "Radio": 14,
    "Sections": 15,
    "Slider": 16,
    "Switch": 17,
    "Text-area": 18,
    "White": 19
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": null,
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.25.1"
}