Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
subword. We will use tokenizer.encode_plus function, that will: Split the sentence into tokens. Add the special [CLS] and [SEP] tokens. Map the tokens to their IDs. Pad or truncate all sentences to the same length. # Tokenize all of the sentences and map tokens to word IDs. input_ids = []