Fix text

docs/examples/example_onnx.ipynb

@@ -145,7 +145,7 @@
    "source": [
     "```{note}\n",
     "In this example we used all ``lightgbm`` models because these are the only type of models\n",
-    "that we managed to make them work natively with the categorical encoding from ``pandas``\n",
+    "that we managed to make them work with the categorical encoding from ``pandas``\n",
     "and their conversion to ONNX. Other ``sklearn`` models which support categoricals such as\n",
     "``HistGradientBoostingRegressor`` or ``xgboost`` models do not have support for them\n",
     "in their conversion to ONNX. See [this issue](https://github.com/onnx/sklearn-onnx/issues/1051)\n",
@@ -156,7 +156,7 @@
     "\n",
     "Before being able to convert the MetaLearner to ONXX we need to manually convert the necessary\n",
     "base models for the prediction. To get the necessary base models that need to be\n",
-    "converted we can use :meth:`~metalearners.MetaLearner._necessary_onnx_models`."
+    "converted we can use {meth}`~metalearners.metalearner.MetaLearner._necessary_onnx_models`."
    ]
   },
   {