config.json

{
    "architectures": [
        "ResNet50"
    ],
    "model_type": "resnet",
    "num_channels": 3,
    "num_classes": 1000,
    "image_size": 224,
    "hidden_sizes": [64, 128, 256, 512],
    "preprocessing": {
        "image_mean": [0.485, 0.456, 0.406],
        "image_std": [0.229, 0.224, 0.225],
        "size": {
            "height": 224,
            "width": 224
        }
    },
    "id2label": {
        "0": "tench",
        "1": "goldfish",
        "999": "toilet_tissue"
    },
    "label2id": {
        "tench": 0,
        "goldfish": 1,
        "toilet_tissue": 999
    }
}