Update README.md

README.md

@@ -79,13 +79,15 @@ result
 from optimum.onnxruntime import ORTModelForQuestionAnswering
 from transformers import AutoTokenizer, pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("cmarkea/distilcamembert-base-qa")
-model = ORTModelForQuestionAnswering.from_pretrained("cmarkea/distilcamembert-base-qa")
+HUB_MODEL = "cmarkea/distilcamembert-base-qa"
+
+tokenizer = AutoTokenizer.from_pretrained(HUB_MODEL)
+model = ORTModelForQuestionAnswering.from_pretrained(HUB_MODEL)
 onnx_qa = pipeline("question-answering", model=model, tokenizer=tokenizer)
 
 # Quantized onnx model
 quantized_model = ORTModelForQuestionAnswering.from_pretrained(
-    "cmarkea/distilcamembert-base-qa", file_name="model_quantized.onnx"
+    HUB_MODEL, file_name="model_quantized.onnx"
 )
 ```