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{
  "_name_or_path": "AutoTrain",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "classicantique",
    "1": "frenchprovence",
    "2": "industrial",
    "3": "koreaasia",
    "4": "lovelyromantic",
    "5": "modern",
    "6": "natural",
    "7": "simple",
    "8": "unique",
    "9": "vintageretro"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "classicantique": "0",
    "frenchprovence": "1",
    "industrial": "2",
    "koreaasia": "3",
    "lovelyromantic": "4",
    "modern": "5",
    "natural": "6",
    "simple": "7",
    "unique": "8",
    "vintageretro": "9"
  },
  "layer_norm_eps": 1e-12,
  "max_length": 128,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "padding": "max_length",
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.29.2"
}