Repository: huggingface/transformers
Pull request: Fix missing None default values for Gemma3n model in get_placeholder_mask (#39991)

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Changed files:
filename: src/transformers/models/gemma3n/modeling_gemma3n.py
patch: @@ -1968,10 +1968,10 @@ def get_image_features(self, pixel_values: torch.Tensor) -> torch.Tensor:
 
     def get_placeholder_mask(
         self,
-        input_ids: torch.LongTensor,
-        inputs_embeds: torch.FloatTensor,
-        image_features: torch.FloatTensor,
-        audio_features: torch.FloatTensor,
+        input_ids: Optional[torch.LongTensor] = None,
+        inputs_embeds: Optional[torch.FloatTensor] = None,
+        image_features: Optional[torch.FloatTensor] = None,
+        audio_features: Optional[torch.FloatTensor] = None,
     ):
         """
         Obtains multimodal placeholdr mask from `input_ids` or `inputs_embeds`, and checks that the placeholder token count is

filename: src/transformers/models/gemma3n/modular_gemma3n.py
patch: @@ -2264,10 +2264,10 @@ def get_image_features(self, pixel_values: torch.Tensor) -> torch.Tensor:
 
     def get_placeholder_mask(
         self,
-        input_ids: torch.LongTensor,
-        inputs_embeds: torch.FloatTensor,
-        image_features: torch.FloatTensor,
-        audio_features: torch.FloatTensor,
+        input_ids: Optional[torch.LongTensor] = None,
+        inputs_embeds: Optional[torch.FloatTensor] = None,
+        image_features: Optional[torch.FloatTensor] = None,
+        audio_features: Optional[torch.FloatTensor] = None,
     ):
         """
         Obtains multimodal placeholdr mask from `input_ids` or `inputs_embeds`, and checks that the placeholder token count is