config.json

{
  "architectures": [
    "SiglipForImageClassification"
  ],
  "id2label": {
    "0": "\u0905",
    "1": "\u0906",
    "10": "\u0915",
    "11": "\u0915\u094d\u0937",
    "12": "\u0916",
    "13": "\u0917",
    "14": "\u0918",
    "15": "\u091a",
    "16": "\u091b",
    "17": "\u091c",
    "18": "\u091c\u094d\u091e",
    "19": "\u091d",
    "2": "\u0907",
    "20": "\u091f",
    "21": "\u0920",
    "22": "\u0921",
    "23": "\u0922",
    "24": "\u0923",
    "25": "\u0924",
    "26": "\u0925",
    "27": "\u0926",
    "28": "\u0927",
    "29": "\u0928",
    "3": "\u0908",
    "30": "\u092a",
    "31": "\u092b",
    "32": "\u092c",
    "33": "\u092d",
    "34": "\u092e",
    "35": "\u092f",
    "36": "\u0930",
    "37": "\u0932",
    "38": "\u0933",
    "39": "\u0935",
    "4": "\u0909",
    "40": "\u0936",
    "41": "\u0938",
    "42": "\u0939",
    "5": "\u090a",
    "6": "\u090f",
    "7": "\u0910",
    "8": "\u0913",
    "9": "\u0914"
  },
  "initializer_factor": 1.0,
  "label2id": {
    "\u0905": "0",
    "\u0906": "1",
    "\u0907": "2",
    "\u0908": "3",
    "\u0909": "4",
    "\u090a": "5",
    "\u090f": "6",
    "\u0910": "7",
    "\u0913": "8",
    "\u0914": "9",
    "\u0915": "10",
    "\u0915\u094d\u0937": "11",
    "\u0916": "12",
    "\u0917": "13",
    "\u0918": "14",
    "\u091a": "15",
    "\u091b": "16",
    "\u091c": "17",
    "\u091c\u094d\u091e": "18",
    "\u091d": "19",
    "\u091f": "20",
    "\u0920": "21",
    "\u0921": "22",
    "\u0922": "23",
    "\u0923": "24",
    "\u0924": "25",
    "\u0925": "26",
    "\u0926": "27",
    "\u0927": "28",
    "\u0928": "29",
    "\u092a": "30",
    "\u092b": "31",
    "\u092c": "32",
    "\u092d": "33",
    "\u092e": "34",
    "\u092f": "35",
    "\u0930": "36",
    "\u0932": "37",
    "\u0933": "38",
    "\u0935": "39",
    "\u0936": "40",
    "\u0938": "41",
    "\u0939": "42"
  },
  "model_type": "siglip",
  "problem_type": "single_label_classification",
  "text_config": {
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 768,
    "intermediate_size": 3072,
    "layer_norm_eps": 1e-06,
    "max_position_embeddings": 64,
    "model_type": "siglip_text_model",
    "num_attention_heads": 12,
    "num_hidden_layers": 12,
    "projection_size": 768,
    "torch_dtype": "float32",
    "vocab_size": 256000
  },
  "torch_dtype": "float32",
  "transformers_version": "4.52.0.dev0",
  "vision_config": {
    "attention_dropout": 0.0,
    "hidden_act": "gelu_pytorch_tanh",
    "hidden_size": 768,
    "image_size": 224,
    "intermediate_size": 3072,
    "layer_norm_eps": 1e-06,
    "model_type": "siglip_vision_model",
    "num_attention_heads": 12,
    "num_channels": 3,
    "num_hidden_layers": 12,
    "patch_size": 16,
    "torch_dtype": "float32"
  }
}