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": "\u0995\u09a5\u09be_\u09ac\u09b2\u09be",
    "1": "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be",
    "2": "\u0996\u09be\u0993\u09df\u09be",
    "3": "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be",
    "4": "\u0998\u09c1\u09ae\u09be\u09a8\u09cb",
    "5": "\u09aa\u09be\u09a8_\u0995\u09b0\u09be",
    "6": "\u09aa\u09dc\u09be",
    "7": "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be",
    "8": "\u09b2\u09c7\u0996\u09be",
    "9": "\u09b9\u09be\u0981\u099f\u09be"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u0995\u09a5\u09be_\u09ac\u09b2\u09be": "0",
    "\u0995\u09ae\u09cd\u09aa\u09bf\u0989\u099f\u09be\u09b0_\u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0_\u0995\u09b0\u09be": "1",
    "\u0996\u09be\u0993\u09df\u09be": "2",
    "\u0996\u09c7\u09b2\u09be_\u0995\u09b0\u09be": "3",
    "\u0998\u09c1\u09ae\u09be\u09a8\u09cb": "4",
    "\u09aa\u09be\u09a8_\u0995\u09b0\u09be": "5",
    "\u09aa\u09dc\u09be": "6",
    "\u09b0\u09be\u09a8\u09cd\u09a8\u09be_\u0995\u09b0\u09be": "7",
    "\u09b2\u09c7\u0996\u09be": "8",
    "\u09b9\u09be\u0981\u099f\u09be": "9"
  },
  "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": "4.39.3"
}