{ "_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" }