config.json

{
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "dtype": "float32",
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "butterfly",
    "1": "cat",
    "2": "chicken",
    "3": "cow",
    "4": "dog",
    "5": "elephant",
    "6": "horse",
    "7": "sheep",
    "8": "spider",
    "9": "squirrel"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "butterfly": 0,
    "cat": 1,
    "chicken": 2,
    "cow": 3,
    "dog": 4,
    "elephant": 5,
    "horse": 6,
    "sheep": 7,
    "spider": 8,
    "squirrel": 9
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "pooler_act": "tanh",
  "pooler_output_size": 768,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "transformers_version": "5.0.0",
  "use_cache": false
}