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{
"_name_or_path": "google/vit-base-patch16-224",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "Audemars Piguet",
"1": "Breguet",
"2": "Breitling",
"3": "Maurice Lacroix",
"4": "Omega",
"5": "Patek Philippe",
"6": "Rado",
"7": "Rolex",
"8": "Tissot",
"9": "Vacheron Constantin"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Audemars Piguet": 0,
"Breguet": 1,
"Breitling": 2,
"Maurice Lacroix": 3,
"Omega": 4,
"Patek Philippe": 5,
"Rado": 6,
"Rolex": 7,
"Tissot": 8,
"Vacheron Constantin": 9
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.40.1"
}
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