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address-extraction

Token Classification
Transformers
Safetensors
PyTorch
bert
ner
turkish
tr
dbmdz
bert-base-cased
bert-base-turkish-cased
Inference Endpoints
Model card Files Community
1
address-extraction
File size: 1,438 Bytes 
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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": "[PAD]",
    "1": "\u00dclke",
    "2": "\u0130l",
    "3": "\u0130l\u00e7e",
    "4": "Mahalle",
    "5": "Cadde",
    "6": "Sokak",
    "7": "Bina Ad\u0131",
    "8": "Bina Numaras\u0131",
    "9": "Yer Ad\u0131",
    "10": "Site",
    "11": "Adres Detay",
    "12": "Blok No",
    "13": "Bulvar",
    "14": "Daire No",
    "15": "Posta Kodu",
    "16": "Kat",
    "17": "[UNK]"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Adres Detay": 11,
    "Bina Ad\u0131": 7,
    "Bina Numaras\u0131": 8,
    "Blok No": 12,
    "Bulvar": 13,
    "Cadde": 5,
    "Daire No": 14,
    "Kat": 16,
    "Mahalle": 4,
    "Posta Kodu": 15,
    "Site": 10,
    "Sokak": 6,
    "Yer Ad\u0131": 9,
    "[PAD]": 0,
    "[UNK]": 17,
    "\u00dclke": 1,
    "\u0130l": 2,
    "\u0130l\u00e7e": 3
  },
  "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
}