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.gitattributes

@@ -2,13 +2,11 @@
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@@ -22,10 +20,8 @@
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README.md

@@ -19,8 +19,8 @@ For more information: [tdd.ai - MilliyetNER](https://data.tdd.ai/#/effafb5f-ebfc
 # USAGE
 ```python
 from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer
-model = AutoModelForTokenClassification.from_pretrained("toygar77/test")
-tokenizer = AutoTokenizer.from_pretrained("toygar77/test")
+model = AutoModelForTokenClassification.from_pretrained("alierenak/berturk-cased-ner")
+tokenizer = AutoTokenizer.from_pretrained("alierenak/berturk-cased-ner")
 ner_pipeline = pipeline('ner', model=model, tokenizer=tokenizer)
 ner_pipeline("Türkiye'nin başkenti Ankara, ilk cumhurbaşkanı Mustafa Kemal Atatürk'tür.")
 ```
@@ -70,5 +70,4 @@ ORGANIZATION       0.95      0.92      0.94       863
    micro avg       0.97      0.95      0.96      3233
    macro avg       0.96      0.95      0.96      3233
 weighted avg       0.97      0.95      0.96      3233
-```
-
+```

config.json

@@ -0,0 +1,43 @@
+{
+  "_name_or_path": "dbmdz/bert-base-turkish-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-LOCATION",
+    "1": "B-ORGANIZATION",
+    "2": "B-PERSON",
+    "3": "I-LOCATION",
+    "4": "I-ORGANIZATION",
+    "5": "I-PERSON",
+    "6": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-LOCATION": 0,
+    "B-ORGANIZATION": 1,
+    "B-PERSON": 2,
+    "I-LOCATION": 3,
+    "I-ORGANIZATION": 4,
+    "I-PERSON": 5,
+    "O": 6
+  },
+  "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": "4.9.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

pytorch_model.bin

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special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "special_tokens_map_file": null, "name_or_path": "dbmdz/bert-base-turkish-cased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}

training_args.bin

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