Update README.md

README.md

@@ -14,7 +14,7 @@ metrics:
 
 ### Post-training static quantization
 
-This is an INT8  PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
+This is an INT8  PyTorch model quantized with [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
 
 The original fp32 model comes from the fine-tuned model [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad).
 
@@ -29,11 +29,11 @@ The linear module **distilbert.transformer.layer.1.ffn.lin2** falls back to fp32
 | **Accuracy (eval-f1)** |86.0005|86.8373|
 | **Model size (MB)**  |71.2|249|
 
-### Load with Intel® Neural Compressor:
+### Load with optimum:
 
 ```python
-from neural_compressor.utils.load_huggingface import OptimizedModel
-int8_model = OptimizedModel.from_pretrained(
+from optimum.intel.neural_compressor.quantization import IncQuantizedModelForQuestionAnswering
+int8_model = IncQuantizedModelForQuestionAnswering(
     'Intel/distilbert-base-cased-distilled-squad-int8-static',
 )
 ```