diff --git a/spacy/ml/_biluo.py b/spacy/ml/_biluo.py
index 77a2a6a77..ab2bd9e10 100644
--- a/spacy/ml/_biluo.py
+++ b/spacy/ml/_biluo.py
@@ -80,13 +80,13 @@ def _get_transition_table(
     B_start, B_end = (0, n_labels)
     I_start, I_end = (B_end, B_end + n_labels)
     L_start, L_end = (I_end, I_end + n_labels)
-    U_start, U_end = (L_end, L_end + n_labels)  # noqa: F841
+    U_start, U_end = (L_end, L_end + n_labels)
     # Using ranges allows us to set specific cells, which is necessary to express
     # that only actions of the same label are valid continuations.
     B_range = numpy.arange(B_start, B_end)
     I_range = numpy.arange(I_start, I_end)
     L_range = numpy.arange(L_start, L_end)
-    O_action = U_end  # noqa: F841
+    O_action = U_end
     # If this is the last token and the previous action was B or I, only L
     # of that label is valid
     table[1, B_range, L_range] = 1
diff --git a/spacy/ml/tb_framework.py b/spacy/ml/tb_framework.py
index 69b40cbcf..f7dad565e 100644
--- a/spacy/ml/tb_framework.py
+++ b/spacy/ml/tb_framework.py
@@ -38,7 +38,7 @@ def forward(model, X, is_train):
 
 
 def init(model, X=None, Y=None):
-    tok2vec = model.get_ref("tok2vec").initialize(X=X)  # noqa: F841
+    tok2vec = model.get_ref("tok2vec").initialize(X=X)
     lower = model.get_ref("lower").initialize()
     if model.attrs["has_upper"]:
         statevecs = model.ops.alloc2f(2, lower.get_dim("nO"))
@@ -46,7 +46,7 @@ def init(model, X=None, Y=None):
 
 
 def resize_output(model, new_nO):
-    tok2vec = model.get_ref("tok2vec")  # noqa: F841
+    tok2vec = model.get_ref("tok2vec")
     lower = model.get_ref("lower")
     upper = model.get_ref("upper")
     if not model.attrs["has_upper"]:
diff --git a/spacy/tests/serialize/test_serialize_config.py b/spacy/tests/serialize/test_serialize_config.py
index cfb9d7381..870a980f2 100644
--- a/spacy/tests/serialize/test_serialize_config.py
+++ b/spacy/tests/serialize/test_serialize_config.py
@@ -112,7 +112,7 @@ def test_serialize_custom_nlp():
         nlp.to_disk(d)
         nlp2 = spacy.load(d)
         model = nlp2.get_pipe("parser").model
-        tok2vec = model.get_ref("tok2vec")  # noqa: F841
+        tok2vec = model.get_ref("tok2vec")
         upper = model.get_ref("upper")
 
         # check that we have the correct settings, not the default ones
@@ -132,7 +132,7 @@ def test_serialize_parser():
         nlp.to_disk(d)
         nlp2 = spacy.load(d)
         model = nlp2.get_pipe("parser").model
-        tok2vec = model.get_ref("tok2vec")  # noqa: F841
+        tok2vec = model.get_ref("tok2vec")
         upper = model.get_ref("upper")
 
         # check that we have the correct settings, not the default ones