diff --git a/spacy/tokens/span.pyx b/spacy/tokens/span.pyx
index 460972369..f702133af 100644
--- a/spacy/tokens/span.pyx
+++ b/spacy/tokens/span.pyx
@@ -471,6 +471,17 @@ cdef class Span:
             self._vector_norm = xp.sqrt(total) if total != 0. else 0.
         return self._vector_norm
 
+    @property
+    def tensor(self):
+        """The span's slice of the doc's tensor.
+        
+        RETURNS (ndarray[ndim=2, dtype='float32']): A 2D numpy or cupy array
+            representing the span's semantics.
+        """
+        if self.doc.tensor is None:
+            return None
+        return self.doc.tensor[self.start : self.end]
+
     @property
     def sentiment(self):
         """RETURNS (float): A scalar value indicating the positivity or
diff --git a/spacy/tokens/token.pyx b/spacy/tokens/token.pyx
index 909ebecbb..07c6f1c99 100644
--- a/spacy/tokens/token.pyx
+++ b/spacy/tokens/token.pyx
@@ -408,6 +408,12 @@ cdef class Token:
         total = (vector ** 2).sum()
         return xp.sqrt(total) if total != 0. else 0.
 
+    @property
+    def tensor(self):
+        if self.doc.tensor is None:
+            return None
+        return self.doc.tensor[self.i]
+
     @property
     def n_lefts(self):
         """The number of leftward immediate children of the word, in the