diff --git a/keras_nlp/models/whisper/whisper_backbone.py b/keras_nlp/models/whisper/whisper_backbone.py
index 83b9324010..fcb3530252 100644
--- a/keras_nlp/models/whisper/whisper_backbone.py
+++ b/keras_nlp/models/whisper/whisper_backbone.py
@@ -76,7 +76,7 @@ class WhisperBackbone(Backbone):
     Examples:
     ```python
     input_data = {
-        "encoder_token_ids": tf.ones(shape=(1, 12, 80), dtype=tf.int64),
+        "encoder_features": tf.ones(shape=(1, 12, 80), dtype=tf.int64),
         "decoder_token_ids": tf.ones(shape=(1, 12), dtype=tf.int64),
         "decoder_padding_mask": tf.constant(
             [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0], shape=(1, 12)
diff --git a/keras_nlp/tests/doc_tests/docstring_test.py b/keras_nlp/tests/doc_tests/docstring_test.py
index 12d31e8ce7..cd5d6b61ec 100644
--- a/keras_nlp/tests/doc_tests/docstring_test.py
+++ b/keras_nlp/tests/doc_tests/docstring_test.py
@@ -108,15 +108,16 @@ def test_fenced_docstrings():
             "keras_nlp.models.backbone",
             "keras_nlp.models.preprocessor",
             "keras_nlp.models.task",
+            "keras_nlp.tokenizers.byte_pair_tokenizer",
+            "keras_nlp.tokenizers.sentence_piece_tokenizer",
+            "keras_nlp.tokenizers.word_piece_tokenizer",
+            # Preprocessors and tokenizers which use `model.spm` (temporary).
             "keras_nlp.models.xlm_roberta.xlm_roberta_preprocessor",
             "keras_nlp.models.f_net.f_net_preprocessor",
             "keras_nlp.models.f_net.f_net_tokenizer",
-            # Preprocessors and tokenizers which use `model.spm` (temporary).
             "keras_nlp.models.albert.albert_preprocessor",
             "keras_nlp.models.albert.albert_tokenizer",
-            "keras_nlp.tokenizers.byte_pair_tokenizer",
-            "keras_nlp.tokenizers.sentence_piece_tokenizer",
-            "keras_nlp.tokenizers.word_piece_tokenizer",
+            "keras_nlp.models.t5.t5_tokenizer",
         ]:
             continue