{ "_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" }