diff --git a/requirements.txt b/requirements.txt
index 9ce19a4e0..f4eccb86c 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,7 +3,7 @@ pathlib
 numpy>=1.7
 cymem>=1.30,<1.32
 preshed>=0.46.4,<0.47.0
-thinc>=5.0.0,<5.1.0
+thinc>=6.0.0,<6.1.0
 murmurhash>=0.26,<0.27
 plac<0.9.3
 six
diff --git a/setup.py b/setup.py
index 4ba997a0c..b3af17e00 100644
--- a/setup.py
+++ b/setup.py
@@ -235,7 +235,7 @@ def setup_package():
                 'murmurhash>=0.26,<0.27',
                 'cymem>=1.30,<1.32',
                 'preshed>=0.46.0,<0.47.0',
-                'thinc>=5.0.0,<5.1.0',
+                'thinc>=6.0.0,<6.1.0',
                 'plac',
                 'six',
                 'cloudpickle',
diff --git a/spacy/syntax/parser.pyx b/spacy/syntax/parser.pyx
index eb094fa97..50ded884f 100644
--- a/spacy/syntax/parser.pyx
+++ b/spacy/syntax/parser.pyx
@@ -255,10 +255,10 @@ cdef class Parser:
         cdef weight_t loss = 0
         cdef Transition action
         while not stcls.is_final():
-            self.model.set_featuresC(&eg.c, stcls.c)
+            self.model.set_featuresC(eg.c, stcls.c)
             self.moves.set_costs(eg.c.is_valid, eg.c.costs, stcls, gold)
             self.model.set_scoresC(eg.c.scores, eg.c.features, eg.c.nr_feat)
-            self.model.updateC(&eg.c)
+            self.model.updateC(eg.c)
             guess = VecVec.arg_max_if_true(eg.c.scores, eg.c.is_valid, eg.c.nr_class)
 
             action = self.moves.c[eg.guess]
@@ -343,7 +343,7 @@ cdef class StepwiseState:
 
     def predict(self):
         self.eg.reset()
-        self.parser.model.set_featuresC(&self.eg.c, self.stcls.c)
+        self.parser.model.set_featuresC(self.eg.c, self.stcls.c)
         self.parser.moves.set_valid(self.eg.c.is_valid, self.stcls.c)
         self.parser.model.set_scoresC(self.eg.c.scores,
             self.eg.c.features, self.eg.c.nr_feat)
diff --git a/spacy/tagger.pyx b/spacy/tagger.pyx
index 7903c44fb..c8968f55d 100644
--- a/spacy/tagger.pyx
+++ b/spacy/tagger.pyx
@@ -192,7 +192,7 @@ cdef class Tagger:
                                   nr_feat=self.model.nr_feat)
         for i in range(tokens.length):
             if tokens.c[i].pos == 0:                
-                self.model.set_featuresC(&eg.c, tokens.c, i)
+                self.model.set_featuresC(eg.c, tokens.c, i)
                 self.model.set_scoresC(eg.c.scores,
                     eg.c.features, eg.c.nr_feat)
                 guess = VecVec.arg_max_if_true(eg.c.scores, eg.c.is_valid, eg.c.nr_class)
@@ -244,11 +244,11 @@ cdef class Tagger:
             nr_class=self.vocab.morphology.n_tags,
             nr_feat=self.model.nr_feat)
         for i in range(tokens.length):
-            self.model.set_featuresC(&eg.c, tokens.c, i)
+            self.model.set_featuresC(eg.c, tokens.c, i)
             eg.costs = [ 1 if golds[i] not in (c, -1) else 0 for c in xrange(eg.nr_class) ]
             self.model.set_scoresC(eg.c.scores,
                 eg.c.features, eg.c.nr_feat)
-            self.model.updateC(&eg.c)
+            self.model.updateC(eg.c)
 
             self.vocab.morphology.assign_tag_id(&tokens.c[i], eg.guess)