diff --git a/src/transformers/models/layoutlm/modeling_layoutlm.py b/src/transformers/models/layoutlm/modeling_layoutlm.py
index 0b1970210e57bc..c7ccd61962dac0 100644
--- a/src/transformers/models/layoutlm/modeling_layoutlm.py
+++ b/src/transformers/models/layoutlm/modeling_layoutlm.py
@@ -1285,7 +1285,7 @@ def forward(
         >>> import torch
 
         >>> tokenizer = AutoTokenizer.from_pretrained("impira/layoutlm-document-qa", add_prefix_space=True)
-        >>> model = LayoutLMForQuestionAnswering.from_pretrained("impira/layoutlm-document-qa")
+        >>> model = LayoutLMForQuestionAnswering.from_pretrained("impira/layoutlm-document-qa", revision="1e3ebac")
 
         >>> dataset = load_dataset("nielsr/funsd", split="train")
         >>> example = dataset[0]
diff --git a/src/transformers/models/layoutlm/modeling_tf_layoutlm.py b/src/transformers/models/layoutlm/modeling_tf_layoutlm.py
index 8c28651ab8f72c..a166b1709b5643 100644
--- a/src/transformers/models/layoutlm/modeling_tf_layoutlm.py
+++ b/src/transformers/models/layoutlm/modeling_tf_layoutlm.py
@@ -1448,7 +1448,7 @@ def call(
         >>> from datasets import load_dataset
 
         >>> tokenizer = AutoTokenizer.from_pretrained("impira/layoutlm-document-qa", add_prefix_space=True)
-        >>> model = TFLayoutLMForQuestionAnswering.from_pretrained("impira/layoutlm-document-qa")
+        >>> model = TFLayoutLMForQuestionAnswering.from_pretrained("impira/layoutlm-document-qa", revision="1e3ebac")
 
         >>> dataset = load_dataset("nielsr/funsd", split="train")
         >>> example = dataset[0]