Update README.md

README.md

@@ -77,7 +77,7 @@ tokenizer_output = tokenizer.batch_encode_plus(batch_text_or_text_pairs=text_pro
 embeddings = model.get_projected_text_embeddings(input_ids=tokenizer_output.input_ids,
                                                  attention_mask=tokenizer_output.attention_mask)
 
-# Compute 3x3 cosine similarity of sentence embeddings obtained from input text prompts.
+# Compute the cosine similarity of sentence embeddings obtained from input text prompts.
 sim = torch.mm(embeddings, embeddings.t())
 ```