Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
= [] for sent in sentences: splitted = sent.split() for i in range(36): try: words.append(splitted[i]) except: words.append('_') for word in words: if word == "_": mask.append(False) else: mask.append(True) masked_words.append(word) Create embeddings with ELMo: embeddings = elmo( sentences,