 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. 