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{
"_name_or_path": "dima806/medicinal_plants_image_detection",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "Amla",
"1": "Curry",
"2": "Betel",
"3": "Bamboo",
"4": "Palak(Spinach)",
"5": "Coriender",
"6": "Ashoka",
"7": "Seethapala",
"8": "Lemon_grass",
"9": "Pappaya",
"10": "Curry_Leaf",
"11": "Lemon",
"12": "Nooni",
"13": "Henna",
"14": "Mango",
"15": "Doddpathre",
"16": "Amruta_Balli",
"17": "Betel_Nut",
"18": "Tulsi",
"19": "Pomegranate",
"20": "Castor",
"21": "Jackfruit",
"22": "Insulin",
"23": "Pepper",
"24": "Raktachandini",
"25": "Aloevera",
"26": "Jasmine",
"27": "Doddapatre",
"28": "Neem",
"29": "Geranium",
"30": "Rose",
"31": "Gauva",
"32": "Hibiscus",
"33": "Nithyapushpa",
"34": "Wood_sorel",
"35": "Tamarind",
"36": "Guava",
"37": "Bhrami",
"38": "Sapota",
"39": "Basale",
"40": "Avacado",
"41": "Ashwagandha",
"42": "Nagadali",
"43": "Arali",
"44": "Ekka",
"45": "Ganike",
"46": "Tulasi",
"47": "Honge",
"48": "Mint",
"49": "Catharanthus",
"50": "Papaya",
"51": "Brahmi"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Aloevera": 25,
"Amla": 0,
"Amruta_Balli": 16,
"Arali": 43,
"Ashoka": 6,
"Ashwagandha": 41,
"Avacado": 40,
"Bamboo": 3,
"Basale": 39,
"Betel": 2,
"Betel_Nut": 17,
"Bhrami": 37,
"Brahmi": 51,
"Castor": 20,
"Catharanthus": 49,
"Coriender": 5,
"Curry": 1,
"Curry_Leaf": 10,
"Doddapatre": 27,
"Doddpathre": 15,
"Ekka": 44,
"Ganike": 45,
"Gauva": 31,
"Geranium": 29,
"Guava": 36,
"Henna": 13,
"Hibiscus": 32,
"Honge": 47,
"Insulin": 22,
"Jackfruit": 21,
"Jasmine": 26,
"Lemon": 11,
"Lemon_grass": 8,
"Mango": 14,
"Mint": 48,
"Nagadali": 42,
"Neem": 28,
"Nithyapushpa": 33,
"Nooni": 12,
"Palak(Spinach)": 4,
"Papaya": 50,
"Pappaya": 9,
"Pepper": 23,
"Pomegranate": 19,
"Raktachandini": 24,
"Rose": 30,
"Sapota": 38,
"Seethapala": 7,
"Tamarind": 35,
"Tulasi": 46,
"Tulsi": 18,
"Wood_sorel": 34
},
"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": "4.40.2"
}