Update README.md

README.md

@@ -154,9 +154,9 @@ This is a SPLADE sparse retrieval model based on BERT-Tiny (4M) that was trained
 
 This tiny SPLADE model is `15x` smaller than Naver's official `splade-v3-distilbert` while having `80%` of it's performance on the MSMARCO benchmark. This model is small enough to be used without a GPU on a dataset of a few thousand documents. 
 
-- Collection: https://huggingface.co/collections/rasyosef/splade-tiny-msmarco-687c548c0691d95babf65b70
-- Distillation Dataset: https://huggingface.co/datasets/yosefw/msmarco-train-distil-v2
-- Code: https://github.com/rasyosef/splade-tiny-msmarco
+- `Collection:` https://huggingface.co/collections/rasyosef/splade-tiny-msmarco-687c548c0691d95babf65b70
+- `Distillation Dataset:` https://huggingface.co/datasets/yosefw/msmarco-train-distil-v2
+- `Code:` https://github.com/rasyosef/splade-tiny-msmarco
 
 ## Performance