from optimum.onnxruntime import ORTModelForTokenClassification, ORTQuantizer
from optimum.onnxruntime.configuration import AutoQuantizationConfig

onnx_model = ORTModelForTokenClassification.from_pretrained(
    "nickprock/bert-italian-finetuned-ner",
     export=True
)
quantizer = ORTQuantizer.from_pretrained(onnx_model)
dqconfig = AutoQuantizationConfig.avx512_vnni(
    is_static=False, 
    per_channel=False
)

model_quantized_path = quantizer.quantize(
    save_dir="bert-italian-ner-onnx-quantized-avx512",
    quantization_config=dqconfig,
)