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 [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2).
 
@@ -29,11 +29,11 @@ The linear modules **roberta.encoder.layer.7.output.dense**, **roberta.encoder.l
 | **Accuracy (eval-f1)** |82.3122|82.9231|
 | **Model size (MB)**  |141|474|
 
-### 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 IncQuantizedModelForCausalLM
+int8_model = IncQuantizedModelForCausalLM.from_pretrained(
     'Intel/roberta-base-squad2-int8-static',
 )
 ```