Fix pipeline tag and add link to paper

README.md

@@ -1,21 +1,24 @@
 ---
-library_name: transformers
-license: apache-2.0
+base_model:
+- HuggingFaceTB/SmolLM2-1.7B-Instruct
+- google/siglip-so400m-patch14-384
 datasets:
 - HuggingFaceM4/the_cauldron
 - HuggingFaceM4/Docmatix
-pipeline_tag: image-text-to-text
 language:
 - en
-base_model:
-- HuggingFaceTB/SmolLM2-1.7B-Instruct
-- google/siglip-so400m-patch14-384
+library_name: transformers
+license: apache-2.0
+pipeline_tag: image-text-to-text
 ---
 
+```markdown
 <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM.png" width="800" height="auto" alt="Image description">
 
 # SmolVLM
 
+This repository contains the model for [SmolVLM: Redefining small and efficient multimodal models](https://huggingface.co/papers/2504.05299).
+
 SmolVLM is a compact open multimodal model that accepts arbitrary sequences of image and text inputs to produce text outputs. Designed for efficiency, SmolVLM can answer questions about images, describe visual content, create stories grounded on multiple images, or function as a pure language model without visual inputs. Its lightweight architecture makes it suitable for on-device applications while maintaining strong performance on multimodal tasks.
 
 ## Model Summary
@@ -188,4 +191,5 @@ You can cite us in the following way:
   journal={arXiv preprint arXiv:2504.05299},
   year={2025}
 }
+```
 ```