config.json

{
  "_name_or_path": "timm/mobilenetv3_large_100.miil_in21k",
  "architecture": "mobilenetv3_large_100",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "finetuning_task": "image-classification",
  "id2label": {
    "0": "FALSE",
    "1": "TRUE"
  },
  "initializer_range": 0.02,
  "label2id": {
    "FALSE": "0",
    "TRUE": "1"
  },
  "model_name": "timm/mobilenetv3_large_100.miil_in21k",
  "model_type": "timm_wrapper",
  "num_classes": 11221,
  "num_features": 1280,
  "pretrained_cfg": {
    "classifier": "classifier",
    "crop_mode": "center",
    "crop_pct": 0.875,
    "custom_load": false,
    "first_conv": "conv_stem",
    "fixed_input_size": false,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bilinear",
    "mean": [
      0.0,
      0.0,
      0.0
    ],
    "num_classes": 11221,
    "origin_url": "https://github.com/Alibaba-MIIL/ImageNet21K",
    "paper_ids": "arXiv:2104.10972v4",
    "pool_size": [
      7,
      7
    ],
    "std": [
      1.0,
      1.0,
      1.0
    ],
    "tag": "miil_in21k"
  },
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.46.0.dev0"
}