Add Gemma 3n model to KerasHub

keras_hub/api/layers/__init__.py

@@ -102,6 +102,12 @@
 from keras_hub.src.models.gemma3.gemma3_image_converter import (
     Gemma3ImageConverter as Gemma3ImageConverter,
 )
+from keras_hub.src.models.gemma3n.gemma3n_audio_converter import (
+    Gemma3nAudioConverter as Gemma3nAudioConverter,
+)
+from keras_hub.src.models.gemma3n.gemma3n_image_converter import (
+    Gemma3nImageConverter as Gemma3nImageConverter,
+)
 from keras_hub.src.models.hgnetv2.hgnetv2_image_converter import (
     HGNetV2ImageConverter as HGNetV2ImageConverter,
 )

keras_hub/api/models/__init__.py

@@ -315,6 +315,18 @@
 from keras_hub.src.models.gemma3.gemma3_vision_encoder import (
     Gemma3VisionEncoder as Gemma3VisionEncoder,
 )
+from keras_hub.src.models.gemma3n.gemma3n_backbone import (
+    Gemma3nBackbone as Gemma3nBackbone,
+)
+from keras_hub.src.models.gemma3n.gemma3n_causal_lm import (
+    Gemma3nCausalLM as Gemma3nCausalLM,
+)
+from keras_hub.src.models.gemma3n.gemma3n_causal_lm_preprocessor import (
+    Gemma3nCausalLMPreprocessor as Gemma3nCausalLMPreprocessor,
+)
+from keras_hub.src.models.gemma3n.gemma3n_tokenizer import (
+    Gemma3nTokenizer as Gemma3nTokenizer,
+)
 from keras_hub.src.models.gpt2.gpt2_backbone import GPT2Backbone as GPT2Backbone
 from keras_hub.src.models.gpt2.gpt2_causal_lm import (
     GPT2CausalLM as GPT2CausalLM,

keras_hub/api/tokenizers/__init__.py

@@ -41,6 +41,9 @@
 from keras_hub.src.models.gemma3.gemma3_tokenizer import (
     Gemma3Tokenizer as Gemma3Tokenizer,
 )
+from keras_hub.src.models.gemma3n.gemma3n_tokenizer import (
+    Gemma3nTokenizer as Gemma3nTokenizer,
+)
 from keras_hub.src.models.gpt2.gpt2_tokenizer import (
     GPT2Tokenizer as GPT2Tokenizer,
 )