Update README.md

README.md

@@ -97,10 +97,13 @@ language:
 - yi
 - zh
 license: mit
+pipeline_tag: token-classification
+widget:
+- text: "LinkBERT-XL is an advanced fine-tuned version of the XLM-RoBERTa Large model developed by Dejan Marketing. The model is designed to predict natural link placement within web content."
 ---
 
 # LinkBERT-XL
-A fine-tuned version of XLM-RoBERTa Large specialising in binary token classification for the purpose of link (anchor text) prediction in plain text. This model was trained by: https://dejanmarketing.com/ 
+A fine-tuned version of XLM-RoBERTa Large specialising in binary token classification for the purpose of link (anchor text) prediction in plain text. Trained and released by [Dejan Marketing](https://dejanmarketing.com/). The model is designed to predict natural link placement within web content. This binary classification model excels in identifying distinct token ranges that web authors are likely to choose as anchor text for links. By analyzing never-before-seen texts, LinkBERT can predict areas within the content where links might naturally occur, effectively simulating web author behavior in link creation.
 
 # ORIGINAL MODEL