diff --git a/gensim/models/keyedvectors.py b/gensim/models/keyedvectors.py
index f40c2c2bc5..7f9b75b367 100644
--- a/gensim/models/keyedvectors.py
+++ b/gensim/models/keyedvectors.py
@@ -1115,7 +1115,7 @@ def load_word2vec_format(cls, fname, fvocab=None, binary=False, encoding='utf8',
         """
         # from gensim.models.word2vec import load_word2vec_format
         return _load_word2vec_format(
-            Word2VecKeyedVectors, fname, fvocab=fvocab, binary=binary, encoding=encoding, unicode_errors=unicode_errors,
+            cls, fname, fvocab=fvocab, binary=binary, encoding=encoding, unicode_errors=unicode_errors,
             limit=limit, datatype=datatype)
 
     def get_keras_embedding(self, train_embeddings=False):
diff --git a/gensim/models/poincare.py b/gensim/models/poincare.py
index 6aa02d7983..29a409f529 100644
--- a/gensim/models/poincare.py
+++ b/gensim/models/poincare.py
@@ -869,7 +869,7 @@ def load_word2vec_format(cls, fname, fvocab=None, binary=False, encoding='utf8',
 
         """
         return _load_word2vec_format(
-            PoincareKeyedVectors, fname, fvocab=fvocab, binary=binary, encoding=encoding, unicode_errors=unicode_errors,
+            cls, fname, fvocab=fvocab, binary=binary, encoding=encoding, unicode_errors=unicode_errors,
             limit=limit, datatype=datatype)
 
     @staticmethod