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Update README.md

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@@ -26,8 +26,8 @@ weight_decay = 0.01
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  ```
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  # How to use:
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  ```
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- model = AutoModelForTokenClassification.from_pretrained("akdeniz27/bert-base-turkish-cased-ner")
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- tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-base-turkish-cased-ner")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
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  ner("<your text here>")
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  ```
 
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  ```
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  # How to use:
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  ```
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+ model = AutoModelForTokenClassification.from_pretrained("winvoker/bert-base-turkish-cased-ner-tf")
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+ tokenizer = AutoTokenizer.from_pretrained("winvoker/bert-base-turkish-cased-ner-tf")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
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  ner("<your text here>")
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  ```