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Image Classification
Transformers
PyTorch
vit
Inference Endpoints
Model card Files Community
2
scribbl-scan
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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": "$",
    "1": "&",
    "10": "8",
    "11": "9",
    "12": "@",
    "13": "A",
    "14": "B",
    "15": "C",
    "16": "D",
    "17": "E",
    "18": "F",
    "19": "G",
    "2": "0",
    "20": "H",
    "21": "I",
    "22": "J",
    "23": "K",
    "24": "L",
    "25": "M",
    "26": "N",
    "27": "P",
    "28": "Q",
    "29": "R",
    "3": "1",
    "30": "S",
    "31": "T",
    "32": "U",
    "33": "V",
    "34": "W",
    "35": "X",
    "36": "Y",
    "37": "Z",
    "4": "2",
    "5": "3",
    "6": "4",
    "7": "5",
    "8": "6",
    "9": "7"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "$": "0",
    "&": "1",
    "0": "2",
    "1": "3",
    "2": "4",
    "3": "5",
    "4": "6",
    "5": "7",
    "6": "8",
    "7": "9",
    "8": "10",
    "9": "11",
    "@": "12",
    "A": "13",
    "B": "14",
    "C": "15",
    "D": "16",
    "E": "17",
    "F": "18",
    "G": "19",
    "H": "20",
    "I": "21",
    "J": "22",
    "K": "23",
    "L": "24",
    "M": "25",
    "N": "26",
    "P": "27",
    "Q": "28",
    "R": "29",
    "S": "30",
    "T": "31",
    "U": "32",
    "V": "33",
    "W": "34",
    "X": "35",
    "Y": "36",
    "Z": "37"
  },
  "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": "4.31.0"
}