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Update README.md

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@@ -10,6 +10,13 @@ This model is the dynamically quantized version of the model
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  # How to use:
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  ```
 
 
 
 
 
 
 
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  model_onnx = ORTModelForTokenClassification.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner-quantized", file_name="model_quantized.onnx")
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  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner-quantized")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
 
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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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+
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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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+
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  model_onnx = ORTModelForTokenClassification.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner-quantized", file_name="model_quantized.onnx")
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  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner-quantized")
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  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")