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 [Twin_Transition_Mapper_Green model] (https://huggingface.co/LKriesch/TwinTransitionMapper_Green) 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 [Twin_Transition_Mapper_Green model] (https://huggingface.co/LKriesch/TwinTransitionMapper_Green) 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 the [paper](https://drive.google.com/file/d/1MN0GSl1FExHYkDyN_VhEt8yFwMX1MM4x/view?usp=drive_link).
 
 
 ### Model Description