Update README.md

README.md

@@ -14,13 +14,14 @@ base_model:
 pipeline_tag: text-ranking
 tags:
 - ProductSearch
+library_name: transformers
 ---
 
 
 **P-MADRAL** is a BERT-sized multi-aspects dense retriever initialized from [BERT](https://huggingface.co/google-bert/bert-base-uncased) public checkpoint, 
 further pre-trained on e-commerce product data, and fine-tuned on product search retrieval task on the 
 [Amazon ESCI](https://huggingface.co/datasets/J-MADRAL/AmazonESCI) dataset. 
-We use symmetric encoder architecture, with a single shared encoder for both queries and products.
+It uses a symmetric encoder architecture, with a single shared encoder for both queries and products.
 The similarity function is *dot product*.