test tokenizer config

configuration_gemma3mm.py

@@ -1,6 +1,6 @@
 from typing import Optional
 
-from transformers import Gemma3TextConfig
+from transformers import AutoConfig, Gemma3TextConfig
 from transformers.configuration_utils import PretrainedConfig
 from transformers.modeling_rope_utils import rope_config_validation
 from transformers.utils import logging
@@ -203,4 +203,8 @@ class Gemma3MMConfig(PretrainedConfig):
         self.audio_token_index = audio_token_index
         self.initializer_range = initializer_range
 
-        super().__init__(**kwargs)
+        super().__init__(**kwargs)
+
+
+AutoConfig.register("gemma3mm", Gemma3MMConfig)
+Gemma3MMConfig.register_for_auto_class()

tokenizer_config.json

@@ -51343,7 +51343,7 @@
   "image_token": "<image_soft_token>",
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "<pad>",
-  "processor_class": "Gemma3Processor",
+  "processor_class": "Gemma3MMProcessor",
   "sp_model_kwargs": null,
   "spaces_between_special_tokens": false,
   "tokenizer_class": "GemmaTokenizerFast",