diff --git a/spacy/tests/lang/en/test_lemmatizer.py b/spacy/tests/lang/en/test_lemmatizer.py
index 00f02ccb4..ecde87bed 100644
--- a/spacy/tests/lang/en/test_lemmatizer.py
+++ b/spacy/tests/lang/en/test_lemmatizer.py
@@ -57,7 +57,6 @@ def test_en_lemmatizer_punct(en_lemmatizer):
 def test_en_lemmatizer_lemma_assignment(EN):
     text = "Bananas in pyjamas are geese."
     doc = EN.make_doc(text)
-    EN.tensorizer(doc)
     assert all(t.lemma_ == '' for t in doc)
     EN.tagger(doc)
     assert all(t.lemma_ != '' for t in doc)
diff --git a/spacy/tests/lang/en/test_models.py b/spacy/tests/lang/en/test_models.py
index 4b1cf1f91..ab318213c 100644
--- a/spacy/tests/lang/en/test_models.py
+++ b/spacy/tests/lang/en/test_models.py
@@ -52,12 +52,13 @@ def test_en_models_vectors(example):
     # this isn't a perfect test since this could in principle fail
     # in a sane model as well,
     # but that's very unlikely and a good indicator if something is wrong
-    vector0 = example[0].vector
-    vector1 = example[1].vector
-    vector2 = example[2].vector
-    assert not numpy.array_equal(vector0,vector1)
-    assert not numpy.array_equal(vector0,vector2)
-    assert not numpy.array_equal(vector1,vector2)
+    if example.vocab.vectors_length:
+        vector0 = example[0].vector
+        vector1 = example[1].vector
+        vector2 = example[2].vector
+        assert not numpy.array_equal(vector0,vector1)
+        assert not numpy.array_equal(vector0,vector2)
+        assert not numpy.array_equal(vector1,vector2)
 
 
 @pytest.mark.xfail
diff --git a/spacy/tests/regression/test_issue429.py b/spacy/tests/regression/test_issue429.py
index 1baa9a1db..df8d6d3fc 100644
--- a/spacy/tests/regression/test_issue429.py
+++ b/spacy/tests/regression/test_issue429.py
@@ -19,7 +19,6 @@ def test_issue429(EN):
     matcher = Matcher(EN.vocab)
     matcher.add('TEST', merge_phrases, [{'ORTH': 'a'}])
     doc = EN.make_doc('a b c')
-    EN.tensorizer(doc)
     EN.tagger(doc)
     matcher(doc)
     EN.entity(doc)