Update README.md

README.md

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 This is a [ColBERT](https://doi.org/10.48550/arXiv.2112.01488) model that can be used for semantic search in many languages. 
-It encodes queries & passages into matrices of token-level embeddings and efficiently finds passages that contextually match the query using scalable vector-similarity 
-(MaxSim) operators. It can be used for tasks like clustering or semantic search. The model uses an [XMOD](https://huggingface.co/facebook/xmod-base) backbone, 
+It encodes queries and passages into matrices of token-level embeddings and efficiently finds passages that contextually match the query using scalable vector-similarity 
+(MaxSim) operators. The model uses an [XMOD](https://huggingface.co/facebook/xmod-base) backbone, 
 which allows it to learn from monolingual fine-tuning in a high-resource language, like English, and perform zero-shot retrieval across multiple languages.
 
 ## Usage