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Update README.md

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@@ -27,7 +27,8 @@ weight_decay = 0.01
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  model = AutoModelForTokenClassification.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner")
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  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
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- NER("text")
 
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  # Pls refer "https://huggingface.co/transformers/_modules/transformers/pipelines/token_classification.html" for entity grouping with aggregation_strategy parameter.
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  ```
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  # Reference test results:
 
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  model = AutoModelForTokenClassification.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner")
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  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/convbert-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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  # Pls refer "https://huggingface.co/transformers/_modules/transformers/pipelines/token_classification.html" for entity grouping with aggregation_strategy parameter.
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  ```
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  # Reference test results: