Update README.md

README.md

@@ -20,13 +20,11 @@ This metric is specially designed to measure the performance of sentence classif
 ## How to Use
 In addition to the classical *predictions* and *references* inputs, this metric includes a *kwarg* named *prediction_strategies (list(str))*, that refer to a family of prediction strategies that the metric can handle.
 
-Add *predictions*, *references* and *prediction_strategies* as follows
+Add *predictions*, *references* and *prediction_strategies* as follows:
 
-```
 	metric = evaluate.load(metric_selector)
 	metric.add_batch(predictions = predictions, references = references)
 	results = metric.compute(prediction_strategies = prediction_strategies)
-```
 
 The *prediction_strategies* implemented in this metric are:
 		- *argmax*, which takes the highest value of the softmax inference logits to select the prediction.