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{
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "CANDY",
"1": "CHIPS",
"2": "CHOCOLATE",
"3": "FISH",
"4": "JAM",
"5": "MILK",
"6": "OIL",
"7": "SPICES",
"8": "TOMATO_SAUCE",
"9": "WATER"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"CANDY": "0",
"CHIPS": "1",
"CHOCOLATE": "2",
"FISH": "3",
"JAM": "4",
"MILK": "5",
"OIL": "6",
"SPICES": "7",
"TOMATO_SAUCE": "8",
"WATER": "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,
"torch_dtype": "float32",
"transformers_version": "4.51.3"
}
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