config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Bollywood memes",
    "1": "Industrialist",
    "2": "Political memes",
    "3": "Singer memes",
    "4": "Sports memes"
  },
  "label2id": {
    "Bollywood memes": "0",
    "Industrialist": "1",
    "Political memes": "2",
    "Singer memes": "3",
    "Sports memes": "4"
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.22.1"
}