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{
"_name_or_path": "google/vit-base-patch16-224-in21k",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "Aston Martin",
"1": "Mercedes-Benz",
"2": "Mini",
"3": "Tesla",
"4": "GMC",
"5": "Alfa Romeo",
"6": "Studebaker",
"7": "Suzuki",
"8": "Peugeot",
"9": "Genesis",
"10": "BMW",
"11": "Honda",
"12": "Chrysler",
"13": "Mazda",
"14": "Infiniti",
"15": "Land Rover",
"16": "Dodge",
"17": "Fiat",
"18": "Maserati",
"19": "Saab",
"20": "Nissan",
"21": "Hudson",
"22": "Lincoln",
"23": "Volvo",
"24": "Mitsubishi",
"25": "Oldsmobile",
"26": "Lexus",
"27": "Buick",
"28": "Jaguar",
"29": "Toyota",
"30": "Volkswagen",
"31": "Renault",
"32": "Citroen",
"33": "Audi",
"34": "Subaru",
"35": "Cadillac",
"36": "Pontiac",
"37": "Porsche",
"38": "Daewoo",
"39": "Bugatti",
"40": "Jeep",
"41": "Ram Trucks",
"42": "Chevrolet",
"43": "MG",
"44": "Hyundai",
"45": "Ferrari",
"46": "Acura",
"47": "Kia",
"48": "Bentley",
"49": "Ford"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Acura": 46,
"Alfa Romeo": 5,
"Aston Martin": 0,
"Audi": 33,
"BMW": 10,
"Bentley": 48,
"Bugatti": 39,
"Buick": 27,
"Cadillac": 35,
"Chevrolet": 42,
"Chrysler": 12,
"Citroen": 32,
"Daewoo": 38,
"Dodge": 16,
"Ferrari": 45,
"Fiat": 17,
"Ford": 49,
"GMC": 4,
"Genesis": 9,
"Honda": 11,
"Hudson": 21,
"Hyundai": 44,
"Infiniti": 14,
"Jaguar": 28,
"Jeep": 40,
"Kia": 47,
"Land Rover": 15,
"Lexus": 26,
"Lincoln": 22,
"MG": 43,
"Maserati": 18,
"Mazda": 13,
"Mercedes-Benz": 1,
"Mini": 2,
"Mitsubishi": 24,
"Nissan": 20,
"Oldsmobile": 25,
"Peugeot": 8,
"Pontiac": 36,
"Porsche": 37,
"Ram Trucks": 41,
"Renault": 31,
"Saab": 19,
"Studebaker": 6,
"Subaru": 34,
"Suzuki": 7,
"Tesla": 3,
"Toyota": 29,
"Volkswagen": 30,
"Volvo": 23
},
"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": "4.33.0"
}
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