Update README.md

README.md

@@ -47,11 +47,26 @@ Downloading the model results in a directory called **roberta-large-bne-celebAEs
 ```python
 from sentence_transformers import SentenceTransformer, InputExample, models, losses, util, evaluation
 model_sbert = SentenceTransformer('roberta-large-bne-celebAEs-UNI')
-caption = ['La mujer tiene pomulos altos. Su cabello es de color negro. Tiene las cejas arqueadas y la boca ligeramente abierta. La joven y atractiva mujer sonriente tiene mucho maquillaje. Lleva aretes, collar y lapiz labial.']
-vectors = model_sbert.encode(captions)
+caption = ['La mujer tiene pomulos altos. Su cabello es de color negro.
+            Tiene las cejas arqueadas y la boca ligeramente abierta.
+            La joven y atractiva mujer sonriente tiene mucho maquillaje.
+            Lleva aretes, collar y lapiz labial.']
+vector = model_sbert.encode(captions)
 print(vector)
 ```
-To see more detailed information about the implementation visit the [following link](https://github.com/eduar03yauri/DCGAN-text2face-forSpanish/blob/main/Data/encoder-models/RoBERTa_model_trained.md).
+## Results
+As a result, the encoder will generate a numeric vector whose dimension is 1024.
+
+```python
+>>$ print(vector)
+>>$ [0.2,0.5,0.45,........0.9]
+>>$ len(vector)
+>>$ 1024
+```
+
+## More information
+
+To see more detailed information about the implementation visit the ![following link](https://github.com/eduar03yauri/DCGAN-text2face-forSpanish/blob/main/Data/encoder-models/RoBERTa_model_trained.md).
 
 ## Licensing information
 This model is available under the [Apache License 2.0.](https://www.apache.org/licenses/LICENSE-2.0)