Update model card

README.md

@@ -8,6 +8,7 @@ metrics:
 - accuracy
 tags:
 - text-classfication
+- neural-compressor
 - int8
 ---
 
@@ -26,10 +27,16 @@ tags:
 
 ## How to Get Started With the Model
 
-To load the quantized model, you can do as follows:
+To load the quantized model and run inference using the Transformers [pipelines](https://huggingface.co/docs/transformers/main/en/main_classes/pipelines), you can do as follows:
 
 ```python
-from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
+from transformers import AutoTokenizer, pipeline
+from optimum.intel.neural_compressor import IncQuantizedModelForSequenceClassification
 
-model = IncQuantizedModelForSequenceClassification.from_pretrained("echarlaix/distilbert-base-uncased-finetuned-sst-2-english-int8-dynamic")
+model_id = "echarlaix/distilbert-base-uncased-finetuned-sst-2-english-int8-dynamic"
+model = IncQuantizedModelForSequenceClassification.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+cls_pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)
+text = "He's a dreadful magician."
+outputs = cls_pipe(text)
 ```