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sweet
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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": "Adhirasam",
    "1": "Anarsa",
    "10": "Boondi",
    "11": "Boondi Ladoo",
    "12": "Cham Cham",
    "13": "Chena Murki",
    "14": "Chenna Poda",
    "15": "Chikki",
    "16": "Chiroti",
    "17": "Coconut Ladoo",
    "18": "Dhondas",
    "19": "Dodha Barfi",
    "2": "Anjeer Barfi",
    "20": "Double ka meetha",
    "21": "Dry Fruits Chikki",
    "22": "Gajar ka halwa",
    "23": "Ghevar",
    "24": "Gud Papdi",
    "25": "Gudanna",
    "26": "Gujiya",
    "27": "Gulab Jamun",
    "28": "Halwa",
    "29": "Jalebi",
    "3": "Badam Burfi",
    "30": "Jhangri",
    "31": "Kaju Anjeer Barfi",
    "32": "Kaju Anjeer Roll",
    "33": "Kaju Katli",
    "34": "Kala Jamun",
    "35": "Khaja",
    "36": "Kheer",
    "37": "Kheer Kadam",
    "38": "Laddu",
    "39": "Lavang Latika",
    "4": "Bal Mithai",
    "40": "Malai chom chom",
    "41": "Malpua",
    "42": "Meethi Seviyan",
    "43": "Mishti Dohi",
    "44": "Modak",
    "45": "Mohanthal",
    "46": "Motichoor Laddu",
    "47": "Mysore_pak",
    "48": "Nankhatai",
    "49": "Paniyaram",
    "5": "Balushahi",
    "50": "Papad Roll",
    "51": "Patishapta",
    "52": "Payasam (Rice or Vermicelli)",
    "53": "Peda",
    "54": "Petha",
    "55": "Phirni",
    "56": "Puran Poli",
    "57": "Puri Unde",
    "58": "Qubani Ka Meetha",
    "59": "Rabri",
    "6": "Barfi",
    "60": "Rajbhog",
    "61": "Ras Malai",
    "62": "Rasgulla",
    "63": "Rava Kesari",
    "64": "Sandesh",
    "65": "Sannas",
    "66": "Shahi Tukda",
    "67": "Shakarpara",
    "68": "Sheer khurma",
    "69": "Shrikhand",
    "7": "Basundi",
    "70": "Shufta",
    "71": "Singhare Atte Ki Barfi",
    "72": "Sohan Papdi",
    "73": "Sutarfeni",
    "74": "kalakand",
    "8": "Bessan Laddu",
    "9": "Bobbatlu"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Adhirasam": "0",
    "Anarsa": "1",
    "Anjeer Barfi": "2",
    "Badam Burfi": "3",
    "Bal Mithai": "4",
    "Balushahi": "5",
    "Barfi": "6",
    "Basundi": "7",
    "Bessan Laddu": "8",
    "Bobbatlu": "9",
    "Boondi": "10",
    "Boondi Ladoo": "11",
    "Cham Cham": "12",
    "Chena Murki": "13",
    "Chenna Poda": "14",
    "Chikki": "15",
    "Chiroti": "16",
    "Coconut Ladoo": "17",
    "Dhondas": "18",
    "Dodha Barfi": "19",
    "Double ka meetha": "20",
    "Dry Fruits Chikki": "21",
    "Gajar ka halwa": "22",
    "Ghevar": "23",
    "Gud Papdi": "24",
    "Gudanna": "25",
    "Gujiya": "26",
    "Gulab Jamun": "27",
    "Halwa": "28",
    "Jalebi": "29",
    "Jhangri": "30",
    "Kaju Anjeer Barfi": "31",
    "Kaju Anjeer Roll": "32",
    "Kaju Katli": "33",
    "Kala Jamun": "34",
    "Khaja": "35",
    "Kheer": "36",
    "Kheer Kadam": "37",
    "Laddu": "38",
    "Lavang Latika": "39",
    "Malai chom chom": "40",
    "Malpua": "41",
    "Meethi Seviyan": "42",
    "Mishti Dohi": "43",
    "Modak": "44",
    "Mohanthal": "45",
    "Motichoor Laddu": "46",
    "Mysore_pak": "47",
    "Nankhatai": "48",
    "Paniyaram": "49",
    "Papad Roll": "50",
    "Patishapta": "51",
    "Payasam (Rice or Vermicelli)": "52",
    "Peda": "53",
    "Petha": "54",
    "Phirni": "55",
    "Puran Poli": "56",
    "Puri Unde": "57",
    "Qubani Ka Meetha": "58",
    "Rabri": "59",
    "Rajbhog": "60",
    "Ras Malai": "61",
    "Rasgulla": "62",
    "Rava Kesari": "63",
    "Sandesh": "64",
    "Sannas": "65",
    "Shahi Tukda": "66",
    "Shakarpara": "67",
    "Sheer khurma": "68",
    "Shrikhand": "69",
    "Shufta": "70",
    "Singhare Atte Ki Barfi": "71",
    "Sohan Papdi": "72",
    "Sutarfeni": "73",
    "kalakand": "74"
  },
  "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": "4.35.0"
}