Update README.md

README.md

@@ -16,7 +16,7 @@ metrics:
 
 ### Post-training dynamic 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 [Intel/bert-base-uncased-mrpc](https://huggingface.co/Intel/bert-base-uncased-mrpc).
 
@@ -27,11 +27,11 @@ The original fp32 model comes from the fine-tuned model [Intel/bert-base-uncased
 | **Accuracy (eval-f1)** |0.8997|0.9042|
 | **Model size (MB)**  |174|418|
 
-### 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 IncQuantizedModelForSequenceClassification
+int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
     'Intel/bert-base-uncased-mrpc-int8-dynamic',
 )
 ```