config.json

{
  "architecture": "convnextv2_tiny",
  "num_classes": 1000,
  "num_features": 768,
  "model_args": {
    "kernel_sizes": 5
  },
  "pretrained_cfg": {
    "tag": "convnextv2_tiny-128-k5-sup-e300-bf16-gb4096",
    "custom_load": false,
    "input_size": [
      3,
      128,
      128
    ],
    "test_input_size": [
      3,
      128,
      128
    ],
    "fixed_input_size": false,
    "interpolation": "bicubic",
    "crop_pct": 0.875,
    "test_crop_pct": 1.0,
    "crop_mode": "center",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "num_classes": 1000,
    "pool_size": [
      7,
      7
    ],
    "first_conv": "stem.0",
    "classifier": "head.fc",
    "license": "cc-by-nc-4.0",
    "origin_url": "https://github.com/facebookresearch/ConvNeXt-V2",
    "paper_name": "ConvNeXt-V2: Co-designing and Scaling ConvNets with Masked Autoencoders",
    "paper_ids": "arXiv:2301.00808"
  }
}