Update README.md

README.md

@@ -4,7 +4,7 @@ widget:
 - text: ""
 ---
 # Turkish Named Entity Recognition (NER) Model
-This model is the fine-tuned model of SZTAKI-HLT/hubert-base-cc 
+This model is the fine-tuned model of "SZTAKI-HLT/hubert-base-cc" 
 using the famous WikiANN dataset presented
 in the "Cross-lingual Name Tagging and Linking for 282 Languages" paper.
 
@@ -25,9 +25,9 @@ model = AutoModelForTokenClassification.from_pretrained("akdeniz27/bert-base-hun
 tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-base-hungarian-cased-ner")
 ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
 ner("<your text here>")
-
-# Pls refer "https://huggingface.co/transformers/_modules/transformers/pipelines/token_classification.html" for entity grouping with aggregation_strategy parameter.
 ```
+Pls refer "https://huggingface.co/transformers/_modules/transformers/pipelines/token_classification.html" for entity grouping with aggregation_strategy parameter.
+
 # Reference test results:
 * accuracy: 0.9774538310923768
 * f1: 0.9462099085573904