config.json

{
  "_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": "area",
    "1": "heatmap",
    "10": "scatter_line",
    "11": "surface",
    "12": "vertical_bar",
    "13": "vertical_box",
    "14": "vertical_interval",
    "15": "violon",
    "2": "horizontal_bar",
    "3": "horizontal_interval",
    "4": "line",
    "5": "manhattan",
    "6": "map",
    "7": "other",
    "8": "pie",
    "9": "scatter"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "area": "0",
    "heatmap": "1",
    "horizontal_bar": "2",
    "horizontal_interval": "3",
    "line": "4",
    "manhattan": "5",
    "map": "6",
    "other": "7",
    "pie": "8",
    "scatter": "9",
    "scatter_line": "10",
    "surface": "11",
    "vertical_bar": "12",
    "vertical_box": "13",
    "vertical_interval": "14",
    "violon": "15"
  },
  "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": "4.40.0"
}