diff --git a/spacy/cli/init_model.py b/spacy/cli/init_model.py
index e5a17d230..629fb92b8 100644
--- a/spacy/cli/init_model.py
+++ b/spacy/cli/init_model.py
@@ -10,6 +10,7 @@ from pathlib import Path
 from preshed.counter import PreshCounter
 import tarfile
 import gzip
+import zipfile
 
 from ._messages import Messages
 from ..vectors import Vectors
@@ -54,14 +55,19 @@ def init_model(lang, output_dir, freqs_loc=None, clusters_loc=None, vectors_loc=
 def open_file(loc):
     '''Handle .gz, .tar.gz or unzipped files'''
     loc = ensure_path(loc)
+    print("Open loc")
     if tarfile.is_tarfile(str(loc)):
         return tarfile.open(str(loc), 'r:gz')
     elif loc.parts[-1].endswith('gz'):
         return (line.decode('utf8') for line in gzip.open(str(loc), 'r'))
+    elif loc.parts[-1].endswith('zip'):
+        zip_file = zipfile.ZipFile(str(loc))
+        names = zip_file.namelist()
+        file_ = zip_file.open(names[0])
+        return (line.decode('utf8') for line in file_)
     else:
         return loc.open('r', encoding='utf8')
 
-
 def create_model(lang, probs, oov_prob, clusters, vectors_data, vector_keys, prune_vectors):
     print("Creating model...")
     lang_class = get_lang_class(lang)
@@ -104,8 +110,12 @@ def read_vectors(vectors_loc):
     vectors_data = numpy.zeros(shape=shape, dtype='f')
     vectors_keys = []
     for i, line in enumerate(tqdm(f)):
-        pieces = line.split()
+        line = line.rstrip()
+        pieces = line.rsplit(' ', vectors_data.shape[1]+1)
         word = pieces.pop(0)
+        if len(pieces) != vectors_data.shape[1]:
+            print(word, repr(line))
+            raise ValueError("Bad line in file")
         vectors_data[i] = numpy.asarray(pieces, dtype='f')
         vectors_keys.append(word)
     return vectors_data, vectors_keys