Update README.md

README.md

@@ -11,7 +11,6 @@ tags:
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 # ColSmolVLM-500M-Instruct: Visual Retriever based on SmolVLM-500M-Instruct with ColBERT strategy
 
-### This is a version trained with batch_size 32 for 3 epochs
 
 ColSmolVLM is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features.
 It is a SmolVLM extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images. 
@@ -19,6 +18,13 @@ It was introduced in the paper [ColPali: Efficient Document Retrieval with Visio
 
 <p align="center"><img width=800 src="https://github.com/illuin-tech/colpali/blob/main/assets/colpali_architecture.webp?raw=true"/></p>
 
+
+## Usage
+
+> [!WARNING]
+> This version should not be used: it is solely the base version useful for deterministic LoRA initialization.
+
+
 ## Version specificity
 
 This version is trained with the commit b983e40 of the Colpali repository. (main branch from the repo)