How to get sentences from embeddings
Hi, I am using the following code to generate embeddings for sentences.from sentence_transformers import SentenceTransformersentences = [“This is an example sentence”, “Each sentence is converted”]model = SentenceTransformer(‘sentence-transformers/paraphrase-xlm-r-multilingual-v1’)embeddings = model.encode(sentences)print(embeddings)Now I generate synthetic data using these embeddings and I am using SMOTE for that.
Now I have synthetic embeddings generated by SMOTE.
How can I convert these synthetic embeddings into text?
appreciate the help!
Thank you