Update README.md

README.md

@@ -2632,13 +2632,13 @@ This makes our model useful for a range of use cases, especially when processing
 This model has 33 million parameters, which enables lightning-fast and memory efficient inference, while still delivering impressive performance.
 Additionally, we provide the following embedding models:
 
-### V1 (Based on T5, 512 Seq)
+**V1 (Based on T5, 512 Seq)**
 
 - [`jina-embeddings-v1-small-en`](https://huggingface.co/jinaai/jina-embedding-s-en-v1): 35 million parameters.
 - [`jina-embeddings-v1-base-en`](https://huggingface.co/jinaai/jina-embedding-b-en-v1): 110 million parameters.
 - [`jina-embeddings-v2-large-en`](https://huggingface.co/jinaai/jina-embedding-l-en-v1): 330 million parameters.
 
-### V2 (Based on JinaBert, 8k Seq)
+**V2 (Based on JinaBert, 8k Seq)**
 
 - [`jina-embeddings-v2-small-en`](https://huggingface.co/jinaai/jina-embeddings-v2-small-en): 33 million parameters **(you are here)**.
 - [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters.