Update README.md

README.md

@@ -60,7 +60,7 @@ embedded_sentence = model(**tokenized_sentence)
 
 You will get as an output three elements:
 
-- projected_pooled_normalized: Projected, pooled, and normalized embeddings from the 27 layer;
+- projected_pooled_normalized: Projected, pooled, and normalized embeddings from layer 27;
 - raw_hidden_states: raw representation from all the hidden states of the model, without pooling, normalization, and projection
 - attentions: attention scores from the encoder