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@@ -8,9 +8,17 @@ license: mit
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  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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  ```
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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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  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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+
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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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  ```
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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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  ner("your text here")