Model architecture details

text2image.py

@@ -23,6 +23,8 @@ def app(model_name):
         
         KoCLIP is a retraining of OpenAI's CLIP model using 82,783 images from [MSCOCO](https://cocodataset.org/#home) dataset and
         Korean caption annotations. Korean translation of caption annotations were obtained from [AI Hub](https://aihub.or.kr/keti_data_board/visual_intelligence).
+        Base model `koclip` uses `klue/roberta` as text encoder and `openai/clip-vit-base-patch32` as image encoder.
+        Larger model `koclip-large` uses `klue/roberta` as text encoder and bigger `google/vit-large-patch16-224` as image encoder.
         
         Example Queries : 아파트(Apartment), 자동차(Car), 컴퓨터(Computer)
     """)