Modify a small descriptive mistake in the usage example

README.md

@@ -75,7 +75,7 @@ encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tenso
 # Compute token embeddings
 with torch.no_grad():
     model_output = model(**encoded_input)
-# Perform pooling. In this case, max pooling.
+# Perform pooling. In this case, mean pooling.
 sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
 print("Sentence embeddings:")
 print(sentence_embeddings)