Update README.md

README.md

@@ -16,7 +16,7 @@ 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-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english).
 
@@ -30,11 +30,11 @@ The calibration dataloader is the train dataloader. The default calibration samp
 | **Accuracy (eval-accuracy)** |0.9037|0.9106|
 | **Model size (MB)**  |65|255|
 
-### 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/distilbert-base-uncased-finetuned-sst-2-english-int8-static',
 )
 ```