Update README.md

README.md

@@ -33,6 +33,18 @@ In this context, the total training time lasted 7 hours working with all CPUs at
 As a result, it generates a _bin_ extension file which can be downloaded from this repository.
 
 ## How to use
+Download the model, as a result there is a **sent2vec_celebAEs-UNI.bin** file which will be loaded using the _sent2vec_ library in Python as follows:
+
+```python
+import sent2vec
+Model_path="sent2vec_celebAEs-UNI.bin"
+s2vmodel = sent2vec.Sent2vecModel()
+s2vmodel.load_model(Model_path)
+caption = """El hombre luce una sombra a las 5 en punto. Su cabello es de color negro. Tiene una nariz grande con cejas tupidas. El hombre se ve atractivo"""
+vector =  s2vmodel.embed_sentence(caption)
+print(vector)
+```
+To see detailed information on the use of the trained model, enter the [following link](https://github.com/eduar03yauri/DCGAN-text2face-forSpanish/blob/main/Data/encoder-models/Sent2vec_model_trained.md)
 
 ## Licensing information
 This model is available under the [Apache License 2.0.](https://www.apache.org/licenses/LICENSE-2.0)