Update README.md

README.md

@@ -91,7 +91,7 @@ logits = model.run(output_names=output_names, input_feed=input_feed_dict)[0]
 # produces a numpy array, one row per input item, one col per label
 
 # Post-processing. Gets the scores per label in range.
-# Auto done by Transformers' pipeline, but we must di it manually with ORT.
+# Auto done by Transformers' pipeline, but we must do it manually with ORT.
 model_outputs = sigmoid(logits) 
 
 # for example, just to show the top result per input item