Update README.md

README.md

@@ -4,10 +4,10 @@ You can use this model with Transformers *pipeline* for NER.
 ```python
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import pipeline
-tokenizer = AutoTokenizer.from_pretrained("Davlan/xlm-roberta-large-ner-hrl")
-model = AutoModelForTokenClassification.from_pretrained("Davlan/xlm-roberta-large-ner-hrl")
+tokenizer = AutoTokenizer.from_pretrained("Holako/NER_model_holako")
+model = AutoModelForTokenClassification.from_pretrained("Holako/NER_model_holako")
 nlp = pipeline("ner", model=model, tokenizer=tokenizer)
-example = "Nader Jokhadar had given Syria the lead with a well-struck header in the seventh minute."
+example = "اسمي احمد"
 ner_results = nlp(example)
 print(ner_results)
 ```