GloVe example not working about text2vec HOT 3 CLOSED

> library(text2vec)
> 
> # read in training corpus data
> jobs = read.csv("jobposts/data job posts.csv")
> 
> # pre-processing
> tokens = word_tokenizer(tolower(jobs$Title))
> v = create_vocabulary(itoken(tokens))
> v = prune_vocabulary(v, term_count_min = 5, doc_proportion_max = 0.5)
> it = itoken(tokens)
> vectorizer = vocab_vectorizer(v)
> 
> # creat a document term matrix and term co-occurance matrix
> dtm = create_dtm(it, vectorizer)
> tcm = create_tcm(it, vectorizer, skip_grams_window = 5)
> 
> # create a model & train out word vectors
> glove = GlobalVectors$new(word_vectors_size = 50, vocabulary = v, x_max = 10)
Error in .subset2(public_bind_env, "initialize")(...) : 
  unused arguments (word_vectors_size = 50, vocabulary = v)
> wv = glove$fit_transform(tcm, n_iter = 10)
Error: object 'glove' not found
> # get average of main and context vectors as proposed in GloVe paper
> wv = wv + t(glove$components)
Error: object 'wv' not found
> # create a relaxed word movers distance model (based on cosign, rather than euclidian distance)
> rwmd_model = RWMD$new(wv)
Error in stopifnot(is.matrix(embeddings)) : 
  argument "embeddings" is missing, with no default