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kentaromiz
/
donut-classifier

Image Classification
Safetensors
PyTorch
vit
huggingpics
food
donuts
Eval Results (legacy)
Model card Files
xet
Community
donut-classifier
File size: 2,084 Bytes
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{
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "dtype": "float32",
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "AyamKaleoDonat",
    "1": "AyamPopDonut",
    "10": "CheesyGranola",
    "11": "ChocoHazelnut",
    "12": "Chocoramel",
    "13": "CoffeeBrulee",
    "14": "CremeBrulee",
    "15": "CrunchMeMatcha",
    "16": "Frosted",
    "17": "MatchaonCloud",
    "18": "NuttinbutPistachio",
    "19": "Oreoverload",
    "2": "BelgianChoco",
    "20": "PB&J",
    "21": "PeanutButterChocolate",
    "22": "PistachioDreamin",
    "23": "SignatureChocolate",
    "24": "SloppyJoe",
    "25": "TheCheeseRoyale",
    "26": "TiramisuTemptation",
    "3": "BerryCheesy",
    "4": "BerryCocoa",
    "5": "BerryMatcha",
    "6": "BurntCheeseRing",
    "7": "ButterscotchThanNever",
    "8": "CaramelAlmond",
    "9": "Cheescake"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "AyamKaleoDonat": "0",
    "AyamPopDonut": "1",
    "BelgianChoco": "2",
    "BerryCheesy": "3",
    "BerryCocoa": "4",
    "BerryMatcha": "5",
    "BurntCheeseRing": "6",
    "ButterscotchThanNever": "7",
    "CaramelAlmond": "8",
    "Cheescake": "9",
    "CheesyGranola": "10",
    "ChocoHazelnut": "11",
    "Chocoramel": "12",
    "CoffeeBrulee": "13",
    "CremeBrulee": "14",
    "CrunchMeMatcha": "15",
    "Frosted": "16",
    "MatchaonCloud": "17",
    "NuttinbutPistachio": "18",
    "Oreoverload": "19",
    "PB&J": "20",
    "PeanutButterChocolate": "21",
    "PistachioDreamin": "22",
    "SignatureChocolate": "23",
    "SloppyJoe": "24",
    "TheCheeseRoyale": "25",
    "TiramisuTemptation": "26"
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "pooler_act": "tanh",
  "pooler_output_size": 768,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "transformers_version": "4.57.1"
}