Bert, NLP.
of 1s for each token in our input sentence. If you want to process two sentences, assign each word in the first sentence plus the ‘[SEP]’ token a 0, and all tokens of the second sentence a 1. # Mark each of the 22 tokens as belonging to sentence "1". segments_ids = [1] * len(tokenized_text) print