readme: ---
  language: tr
  license: mit
  ---
  
  # Turkish Named Entity Recognition (NER) Quantized Model
  
  This model is the dynamically quantized version of the model
  (https://akdeniz27/convbert-base-turkish-cased-ner)
  
  # How to use: 
  ```
  # First install "optimum[onnxruntime]":
  !pip install "optimum[onnxruntime]"
  
  # and import "ORTModelForTokenClassification":
  from transformers import AutoTokenizer, pipeline
  from optimum.onnxruntime import ORTModelForTokenClassification
  
  model_onnx = ORTModelForTokenClassification.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner-quantized", file_name="model_quantized.onnx")
  tokenizer = AutoTokenizer.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner-quantized")
  ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
  ner("your text here")
  ```
  Pls refer (https://github.com/akdeniz27/dynamic_quantization) for details of quantization. 