Update README.md

README.md

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 datasets:
 - vidore/colpali_train_set
 ---
+
 # ColPali: Visual Retriever based on PaliGemma-3B with ColBERT strategy
 
 ColPali 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.
@@ -106,7 +107,8 @@ scores = processor.score_multi_vector(querry_embeddings, image_embeddings)
 
 ## License
 
-ColPali's vision language backbone model (PaliGemma) is under `gemma` license as specified in its [model card](https://huggingface.co/google/paligemma-3b-mix-448). The adapters attached to the model are under MIT license.
+ColPali's vision language backbone model (PaliGemma) is under `gemma` license as specified in its [model card](https://huggingface.co/google/paligemma-3b-mix-448).
+Because the pre-trained adapter got merged in this model, the license for these weights are also under the `gemma` license
 
 ## Contact