Update README.md

README.md

@@ -23,7 +23,7 @@ The model has been trained on paragraphs from German company websites using an e
 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
 
-The model is designed to predict the AI capabilities of German companies based on their website texts. It is intended to be used in conjunction with the [https://huggingface.co/LKriesch/TwinTransitionMapper_AI] model to identify companies contributing to the twin transition in Germany. For detailed information on the fine-tuning process and the results of these models, please refer to: [LINK TO WORKING PAPER]
+The model is designed to predict the AI capabilities of German companies based on their website texts. It is intended to be used in conjunction with the [TwinTransitionMapper_AI](https://huggingface.co/LKriesch/TwinTransitionMapper_AI) model to identify companies contributing to the twin transition in Germany. For detailed information on the fine-tuning process and the results of these models, please refer to: [LINK TO WORKING PAPER]
 
 ### Model Description
 - **Model Type:** SetFit