Is there a way I can access just the vocabulary list of pre-trained vectors for word2vec and GloVe? I do not need the entire n-dimensional embeddings.
In short: Yes, you can.
You need to first load the vectors using the Gensim module in Python.
# Load Google news vectors word2vec_path = "path_to_the_vectors/GoogleNews-vectors-negative300.bin" word2vec = gensim.models.KeyedVectors.load_word2vec_format(word2vec_path, binary=True) # contains the list of all unique words in pre-trained word2vec vectors w2v_vocabulary = word2vec.vocab