config.json

{
  "_name_or_path": "timm/resnet18.a1_in1k",
  "architecture": "resnet18",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9"
  },
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "model_type": "timm_wrapper",
  "num_classes": 10,
  "num_features": 512,
  "pretrained_cfg": {
    "classifier": "fc",
    "crop_mode": "center",
    "crop_pct": 0.95,
    "custom_load": false,
    "first_conv": "conv1",
    "fixed_input_size": false,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bicubic",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "origin_url": "https://github.com/huggingface/pytorch-image-models",
    "paper_ids": "arXiv:2110.00476",
    "pool_size": [
      7,
      7
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "tag": "a1_in1k",
    "test_crop_pct": 1.0,
    "test_input_size": [
      3,
      288,
      288
    ]
  },
  "torch_dtype": "float32",
  "transformers_version": "4.47.0.dev0"
}