Update README.md

README.md

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 **MedCPT has been pre-trained by an unprecedented scale of 255M query-article pairs from PubMed search logs**, and has been shown to achieve state-of-the-art performance on several zero-shot biomedical IR datasets. In general, there are three use cases:
 1. Query-to-article search with both encoders.
-2. Query representation for clustering or query-to-query search with the [query encoder)[https://huggingface.co/ncbi/MedCPT-Query-Encoder].
-3. Article representation for clustering or article-to-article search with the (prticle encoder)[https://huggingface.co/ncbi/MedCPT-Article-Encoder].
+2. Query representation for clustering or query-to-query search with the [query encoder](https://huggingface.co/ncbi/MedCPT-Query-Encoder).
+3. Article representation for clustering or article-to-article search with the [article encoder](https://huggingface.co/ncbi/MedCPT-Article-Encoder).
 
 For more details, please check out our [paper](https://arxiv.org/abs/2307.00589) (Bioinformatics, 2023).