diff --git a/spacy/ml/models/textcat.py b/spacy/ml/models/textcat.py
index 1117b4fde..ec8998e2d 100644
--- a/spacy/ml/models/textcat.py
+++ b/spacy/ml/models/textcat.py
@@ -24,11 +24,11 @@ def build_simple_cnn_text_classifier(
     """
     with Model.define_operators({">>": chain}):
         if exclusive_classes:
-            output_layer = Softmax(nO=nO, nI=tok2vec.get_dim("nO"))
+            output_layer = Softmax(nO=nO, nI=tok2vec.maybe_get_dim("nO"))
             model = tok2vec >> list2ragged() >> reduce_mean() >> output_layer
             model.set_ref("output_layer", output_layer)
         else:
-            linear_layer = Linear(nO=nO, nI=tok2vec.get_dim("nO"))
+            linear_layer = Linear(nO=nO, nI=tok2vec.maybe_get_dim("nO"))
             model = (
                 tok2vec >> list2ragged() >> reduce_mean() >> linear_layer >> Logistic()
             )
diff --git a/spacy/util.py b/spacy/util.py
index 3d567a425..47fbcce1c 100644
--- a/spacy/util.py
+++ b/spacy/util.py
@@ -622,7 +622,7 @@ def load_meta(path: Union[str, Path]) -> Dict[str, Any]:
     if not path.parent.exists():
         raise IOError(Errors.E052.format(path=path.parent))
     if not path.exists() or not path.is_file():
-        raise IOError(Errors.E053.format(path=path, name="meta.json"))
+        raise IOError(Errors.E053.format(path=path.parent, name="meta.json"))
     meta = srsly.read_json(path)
     for setting in ["lang", "name", "version"]:
         if setting not in meta or not meta[setting]: