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Update README.md

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@@ -9,15 +9,14 @@ This model is the dynamically quantized version of the model
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  (https://akdeniz27/bert-base-turkish-cased-ner)
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  # How to use:
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- First install "optimum[onnxruntime]":
 
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  !pip install "optimum[onnxruntime]"
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- and import "ORTModelForTokenClassification":
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-
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  from transformers import AutoTokenizer, pipeline
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  from optimum.onnxruntime import ORTModelForTokenClassification
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- ```
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  model = ORTModelForTokenClassification.from_pretrained("akdeniz27/bert-base-turkish-cased-ner-quantized", file_name="model_quantized.onnx")
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  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-base-turkish-cased-ner-quantized")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
 
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  (https://akdeniz27/bert-base-turkish-cased-ner)
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  # How to use:
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+ ```
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+ # First install "optimum[onnxruntime]":
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  !pip install "optimum[onnxruntime]"
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+ # and import "ORTModelForTokenClassification":
 
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  from transformers import AutoTokenizer, pipeline
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  from optimum.onnxruntime import ORTModelForTokenClassification
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  model = ORTModelForTokenClassification.from_pretrained("akdeniz27/bert-base-turkish-cased-ner-quantized", file_name="model_quantized.onnx")
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  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/bert-base-turkish-cased-ner-quantized")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")