config.json

{
  "_name_or_path": "microsoft/resnet-18",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    2,
    2,
    2,
    2
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    64,
    128,
    256,
    512
  ],
  "id2label": {
    "0": "ASCUS",
    "1": "Cancer",
    "2": "HSIL",
    "3": "LSIL",
    "4": "NILM",
    "5": "Non-Diagnostic"
  },
  "label2id": {
    "ASCUS": 0,
    "Cancer": 1,
    "HSIL": 2,
    "LSIL": 3,
    "NILM": 4,
    "Non-Diagnostic": 5
  },
  "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"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.44.2"
}