diff --git a/tabpfn_client/estimator.py b/tabpfn_client/estimator.py
index 5c2aed6..d3227a3 100644
--- a/tabpfn_client/estimator.py
+++ b/tabpfn_client/estimator.py
@@ -110,7 +110,9 @@ def __init__(
         random_state: int or RandomState or RandomGenerator or None, default=None
             Controls the randomness of the model. Pass an int for reproducible results.
         inference_config: dict or None, default=None
-            Additional advanced arguments for model interface.
+            Additional advanced arguments for model interface. See the doc of ModelInterfaceConfig
+            in the tabpfn package for more details. For the client, the inference_config and the
+            preprocess transforms need to be dictionaries.
         paper_version: bool, default=False
             If True, will use the model described in the paper, instead of the newest
             version available on the API, which e.g handles text features better.
@@ -262,7 +264,9 @@ def __init__(
         random_state: int or RandomState or RandomGenerator or None, default=None
             Controls the randomness of the model. Pass an int for reproducible results.
         inference_config: dict or None, default=None
-            Additional advanced arguments for model interface.
+            Additional advanced arguments for model interface. See the doc of ModelInterfaceConfig
+            in the tabpfn package for more details. For the client, the inference_config and the
+            preprocess transforms need to be dictionaries.
         paper_version: bool, default=False
             If True, will use the model described in the paper, instead of the newest
             version available on the API, which e.g handles text features better.