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{
  "_name_or_path": "dbmdz/bert-base-turkish-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-\u00dclke",
    "2": "I-\u00dclke",
    "3": "B-\u0130l",
    "4": "I-\u0130l",
    "5": "B-\u0130l\u00e7e",
    "6": "I-\u0130l\u00e7e",
    "7": "B-Mahalle",
    "8": "I-Mahalle",
    "9": "B-Cadde",
    "10": "I-Cadde",
    "11": "B-Sokak",
    "12": "I-Sokak",
    "13": "B-Bina Ad\u0131",
    "14": "I-Bina Ad\u0131",
    "15": "B-Bina Numaras\u0131",
    "16": "I-Bina Numaras\u0131",
    "17": "B-Yer Ad\u0131",
    "18": "I-Yer Ad\u0131",
    "19": "B-Site",
    "20": "I-Site",
    "21": "B-Adres Detay",
    "22": "I-Adres Detay",
    "23": "B-Blok No",
    "24": "I-Blok No",
    "25": "B-Bulvar",
    "26": "I-Bulvar",
    "27": "B-Daire No",
    "28": "I-Daire No",
    "29": "B-Posta Kodu",
    "30": "I-Posta Kodu",
    "31": "B-Kat",
    "32": "I-Kat"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Adres Detay": 21,
    "B-Bina Ad\u0131": 13,
    "B-Bina Numaras\u0131": 15,
    "B-Blok No": 23,
    "B-Bulvar": 25,
    "B-Cadde": 9,
    "B-Daire No": 27,
    "B-Kat": 31,
    "B-Mahalle": 7,
    "B-Posta Kodu": 29,
    "B-Site": 19,
    "B-Sokak": 11,
    "B-Yer Ad\u0131": 17,
    "B-\u00dclke": 1,
    "B-\u0130l": 3,
    "B-\u0130l\u00e7e": 5,
    "I-Adres Detay": 22,
    "I-Bina Ad\u0131": 14,
    "I-Bina Numaras\u0131": 16,
    "I-Blok No": 24,
    "I-Bulvar": 26,
    "I-Cadde": 10,
    "I-Daire No": 28,
    "I-Kat": 32,
    "I-Mahalle": 8,
    "I-Posta Kodu": 30,
    "I-Site": 20,
    "I-Sokak": 12,
    "I-Yer Ad\u0131": 18,
    "I-\u00dclke": 2,
    "I-\u0130l": 4,
    "I-\u0130l\u00e7e": 6,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.37.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}