config.json

{
  "architectures": [
    "ConvNextForImageClassification"
  ],
  "depths": [
    3,
    3,
    27,
    3
  ],
  "drop_path_rate": 0.0,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_sizes": [
    128,
    256,
    512,
    1024
  ],
  "id2label": {
    "0": "0",
    "1": "1",
    "2": "2",
    "3": "3",
    "4": "4",
    "5": "5",
    "6": "6",
    "7": "7",
    "8": "8",
    "9": "9"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 1e-06,
  "model_type": "convnext",
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "transformers_version": "4.57.3"
}