Update README.md

README.md

@@ -12,14 +12,14 @@ pipeline_tag: sentence-similarity
 This is the Agentic-R trained in our paper: Agentic-R: Learning to Retrieve for Agentic Search
  ([📝arXiv](https://arxiv.org/pdf/2601.11888)). Please refer our [🧩github repository](https://github.com/8421BCD/ReasonRank) for the detailed usage of our Agentic-R.
 
-## Usage (with sentence_transformers)
+## Usage
 
 Our **Agentic-R** query encoder is designed for agentic search scenarios.  
 For queries, the input format is:
 `query: <original_question> [SEP] <agent_query>`.
 Passages use the standard `passage:` prefix following E5.
 
-Below is an example of how to compute embeddings using `sentence_transformers`:
+Below is an example of how to compute embeddings using sentence_transformers:
 
 ```python
 from sentence_transformers import SentenceTransformer