Fix typos in DTensor tutorial

PiperOrigin-RevId: 483615556

Author: Wei Wei

site/en/guide/dtensor_overview.ipynb

@@ -292,7 +292,7 @@
         "id": "DgciDNmK76l9"
       },
       "source": [
-        "Given a 2-dimensional 3x2 mesh such as `[(\"x\", 3), (\"y\", 2)]`, (`mesh_2d` from the previous section), `Layout([\"y\", \"x\"], mesh_2d)` is a layout for a rank-2 `Tensor` whose first axis is sharded across across mesh dimension `\"y\"`, and whose second axis is sharded across mesh dimension `\"x\"`."
+        "Given a 2-dimensional 3x2 mesh such as `[(\"x\", 3), (\"y\", 2)]`, (`mesh_2d` from the previous section), `Layout([\"y\", \"x\"], mesh_2d)` is a layout for a rank-2 `Tensor` whose first axis is sharded across mesh dimension `\"y\"`, and whose second axis is sharded across mesh dimension `\"x\"`."
       ]
     },
     {
@@ -843,7 +843,7 @@
         "\n",
         "  - `tf.ones`, `tf.zeros`, `tf.random.stateless_normal`,\n",
         "\n",
-        "For these Python functions, DTensor provides `dtensor.call_with_layout` which eagelry executes a Python function with DTensor, and ensures that the returned Tensor is a DTensor with the requested `Layout`."
+        "For these Python functions, DTensor provides `dtensor.call_with_layout` which eagerly executes a Python function with DTensor, and ensures that the returned Tensor is a DTensor with the requested `Layout`."
       ]
     },
     {