Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
distinguish between the two sentences. We will encode each sentence separately so we will just mark each token in each sentence with 1. segments_ids = torch.ones_like(input_ids) Now we can call BERT model and finally get model hidden states from which we will create word embeddings. with