trouble with reading word2vec file

[burette]

if embed_type == "google":
with open(word2vec, "rb") as f:
header = f.readline()
vocab_size, layer1_size = map(int, header.split())
binary_len = np.dtype('float32').itemsize * layer1_size
for line in xrange(vocab_size):
word = []
while True:
ch = f.read(1)
if ch == ' ':
word = ''.join(word)
break
if ch != '\n':
word.append(ch)
idx = 0
emb_string = f.read(binary_len)
if word in vocabulary_user:
u = u + 1
idx = vocabulary_user[word]
initW_user[idx] = np.fromstring(emb_string, dtype='float32')

            if word in vocabulary_item:
                item = item + 1
                idx = vocabulary_item[word]
                initW_item[idx] = np.fromstring(emb_string, dtype='float32')

for line in xrange(vocab_size):
word = []
while True:
ch = f.read(1)
if ch == ' ':
word = ''.join(word)
break
if ch != '\n':
word.append(ch)
hi, when I run these code,my computer and workstation both are memory out .Some question：
1.is your word2vec file is GoogleNews-vectors-negative300.bin?if not ,what's this ?can you offer download url? ,thank U
2.In my understanding,these code is to vectorize representation user reviews, so can I use GoogleNews-vectors-negative300.bin to represent word in reviews directly?Are these ways the same?