diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml
new file mode 100644
index 0000000..1480ae8
--- /dev/null
+++ b/.github/workflows/publish.yaml
@@ -0,0 +1,42 @@
+name: publish
+
+on:
+  workflow_dispatch:
+
+jobs:
+  pypi:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v1
+
+    - name: Set up Python 3.9
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.9
+
+    - name: Install dependencies
+      run: |
+          python -m pip install --upgrade pip
+          pip install tox tox-gh-actions
+
+    - name: Test packaging
+      run: tox -e packaging
+
+    - name: Build
+      run: tox -e build
+
+    - name: Publish distribution 📦 to Test PyPI
+      if: startsWith(github.ref, 'refs/tags')
+      uses: pypa/gh-action-pypi-publish@release/v1.5
+      with:
+        user: __token__
+        password: ${{ secrets.TEST_PYPI_PASSWORD }}
+        repository_url: https://test.pypi.org/legacy/
+
+    - name: Publish distribution 📦 to PyPI
+      if: startsWith(github.ref, 'refs/tags')
+      uses: pypa/gh-action-pypi-publish@release/v1.5
+      with:
+        user: __token__
+        password: ${{ secrets.PYPI_PASSWORD }}
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index dcb8be3..ac64c60 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -18,7 +18,7 @@ jobs:
       max-parallel: 4
       matrix:
         platform: [ubuntu-latest]
-        python-version: [3.6, 3.7, 3.8, 3.9, '3.10']
+        python-version: [3.8, 3.9, '3.10']
     env:
       PLATFORM: ${{ matrix.platform }}
     steps:
diff --git a/sspace/orion/transformer.py b/sspace/orion/transformer.py
index 16a795c..03c1ab1 100644
--- a/sspace/orion/transformer.py
+++ b/sspace/orion/transformer.py
@@ -439,7 +439,7 @@ def __init__(self, categories):
         self.categories = categories
         map_dict = {cat: i for i, cat in enumerate(categories)}
         self._map = numpy.vectorize(lambda x: map_dict[x], otypes="i")
-        self._imap = numpy.vectorize(lambda x: categories[x], otypes=[numpy.object])
+        self._imap = numpy.vectorize(lambda x: categories[x], otypes=[object])
 
     def __deepcopy__(self, memo):
         """Make a deepcopy"""
diff --git a/tests/orion/test_transformer.py b/tests/orion/test_transformer.py
index 0669b27..6723905 100644
--- a/tests/orion/test_transformer.py
+++ b/tests/orion/test_transformer.py
@@ -199,7 +199,7 @@ def test_reverse(self):
                     ]
                 )
             )
-            == numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=numpy.object)
+            == numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=object)
         )
 
         t = Compose([Enumerate([2, "asfa"]), OneHotEncode(2)], "categorical")
@@ -207,11 +207,11 @@ def test_reverse(self):
         assert t.reverse(2.0) == "asfa"
         assert numpy.all(
             t.reverse((0.0, 0.0, 0.0, 1.0))
-            == numpy.array([2, 2, 2, "asfa"], dtype=numpy.object)
+            == numpy.array([2, 2, 2, "asfa"], dtype=object)
         )
         assert numpy.all(
             t.reverse(numpy.array([[0.55, 3.0], [-0.6, 1.0]]))
-            == numpy.array([["asfa", "asfa"], [2, "asfa"]], dtype=numpy.object)
+            == numpy.array([["asfa", "asfa"], [2, "asfa"]], dtype=object)
         )
 
         # for the crazy enough
@@ -222,7 +222,7 @@ def test_reverse(self):
         assert t.reverse(-0.2) == 2
         assert numpy.all(
             t.reverse([[0.5, 0], [1.0, 55]])
-            == numpy.array([[2, 2], [2, 2]], dtype=numpy.object)
+            == numpy.array([[2, 2], [2, 2]], dtype=object)
         )
 
     def test_infer_target_shape(self):
@@ -377,7 +377,7 @@ def test_reverse(self):
             t.reverse(3)
         assert numpy.all(
             t.reverse([[2, 1], [0, 2]])
-            == numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=numpy.object)
+            == numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=object)
         )
 
         # for the crazy enough
@@ -387,7 +387,7 @@ def test_reverse(self):
             t.reverse(1)
         assert numpy.all(
             t.reverse([[0, 0], [0, 0]])
-            == numpy.array([[2, 2], [2, 2]], dtype=numpy.object)
+            == numpy.array([[2, 2], [2, 2]], dtype=object)
         )
 
     def test_infer_target_shape(self):