Repository: huggingface/transformers
Pull request: fix: AttributeError: 'LlavaProcessor' object has no attribute 'image_token_id'

# What does this PR do?

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<!-- Remove if not applicable -->

While trying to apply AttentionMaskVisualizer to LLaVa:

> AttributeError: 'LlavaProcessor' object has no attribute 'image_token_id'.

This error occurred, so I am planning to add image_token_id to LLaVa.


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Changed files:
filename: src/transformers/models/llava/processing_llava.py
patch: @@ -89,6 +89,11 @@ def __init__(
         self.num_additional_image_tokens = num_additional_image_tokens
         self.vision_feature_select_strategy = vision_feature_select_strategy
         self.image_token = tokenizer.image_token if hasattr(tokenizer, "image_token") else image_token
+        self.image_token_id = (
+            tokenizer.image_token_id
+            if getattr(tokenizer, "image_token_id", None)
+            else tokenizer.convert_tokens_to_ids(self.image_token)
+        )
         super().__init__(image_processor, tokenizer, chat_template=chat_template)
 
     def __call__(

filename: src/transformers/models/llava_next/processing_llava_next.py
patch: @@ -92,6 +92,11 @@ def __init__(
         self.num_additional_image_tokens = num_additional_image_tokens
         self.vision_feature_select_strategy = vision_feature_select_strategy
         self.image_token = tokenizer.image_token if hasattr(tokenizer, "image_token") else image_token
+        self.image_token_id = (
+            tokenizer.image_token_id
+            if getattr(tokenizer, "image_token_id", None)
+            else tokenizer.convert_tokens_to_ids(self.image_token)
+        )
         super().__init__(image_processor, tokenizer, chat_template=chat_template)
 
     def __call__(

filename: src/transformers/models/llava_next_video/processing_llava_next_video.py
patch: @@ -107,6 +107,16 @@ def __init__(
         self.vision_feature_select_strategy = vision_feature_select_strategy
         self.image_token = tokenizer.image_token if hasattr(tokenizer, "image_token") else image_token
         self.video_token = tokenizer.video_token if hasattr(tokenizer, "video_token") else video_token
+        self.image_token_id = (
+            tokenizer.image_token_id
+            if getattr(tokenizer, "image_token_id", None)
+            else tokenizer.convert_tokens_to_ids(self.image_token)
+        )
+        self.video_token_id = (
+            tokenizer.video_token_id
+            if getattr(tokenizer, "video_token_id", None)
+            else tokenizer.convert_tokens_to_ids(self.video_token)
+        )
         super().__init__(video_processor, image_processor, tokenizer, chat_template=chat_template)
 
     def __call__(

filename: src/transformers/models/llava_onevision/processing_llava_onevision.py
patch: @@ -100,6 +100,16 @@ def __init__(
         self.vision_feature_select_strategy = vision_feature_select_strategy
         self.image_token = tokenizer.image_token if hasattr(tokenizer, "image_token") else image_token
         self.video_token = tokenizer.video_token if hasattr(tokenizer, "video_token") else video_token
+        self.image_token_id = (
+            tokenizer.image_token_id
+            if getattr(tokenizer, "image_token_id", None)
+            else tokenizer.convert_tokens_to_ids(self.image_token)
+        )
+        self.video_token_id = (
+            tokenizer.video_token_id
+            if getattr(tokenizer, "video_token_id", None)
+            else tokenizer.convert_tokens_to_ids(self.video_token)
+        )
         super().__init__(image_processor, tokenizer, video_processor, chat_template=chat_template)
 
     def __call__(