Ajout d'une section TL;DR au README pour faciliter l'utilisation du modèle

README.md

@@ -24,6 +24,15 @@ pipeline_tag: image-to-text
 
 This repository contains a fine-tuned version of the Hugging Face [Idefics3-8B-Llama3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3) model, built on top of the Meta Llama 3.1 8B architecture. Our model, `IDEFICS3_ROCO`, has been fine-tuned on the [Radiology Objects in Context (ROCO)](https://huggingface.co/datasets/eltorio/ROCO-radiology) dataset, a large-scale medical and multimodal imaging collection.
 
+## TL;DR
+
+For immediate use, you can load the model directly from Hugging Face:  
+
+```python
+from transformers import AutoModelForImageTextToText
+model =AutoModelForImageTextToText.from_pretrained("eltorio/IDEFICS3_ROCO")
+```
+
 ### Model Information
 
 * **Base Model:** Idefics3-8B-Llama3