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Update README.md

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@@ -14,6 +14,6 @@ This model is the dynamically quantized version of the model
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  model_onnx = 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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- ner("<your text here>")
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  ```
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  Pls refer "https://github.com/akdeniz27/dynamic_quantization/blob/main/Dynamic_Quantization.ipynb" for details of quantization.
 
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  model_onnx = 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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+ ner("your text here")
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  ```
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  Pls refer "https://github.com/akdeniz27/dynamic_quantization/blob/main/Dynamic_Quantization.ipynb" for details of quantization.