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README.md

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 This is a [sentence-transformers](https://www.SBERT.net) model fine-tuned on the Belief Triplet Dataset. It maps sentences and paragraphs into a 768-dimensional dense vector space, making it suitable for tasks such as clustering and semantic search.
 
-The base model, [roberta-base-nli-stsb-mean-tokens](sentence-transformers/roberta-base-nli-stsb-mean-tokens) , was fine-tuned using belief triplets extracted from the Debate.org dataset. This fine-tuning enhances the model’s ability to capture contextual relationships between various beliefs.
+The base model, [roberta-base-nli-stsb-mean-tokens](https://huggingface.co/sentence-transformers/roberta-base-nli-stsb-mean-tokens) , was fine-tuned using belief triplets extracted from the Debate.org dataset. This fine-tuning enhances the model’s ability to capture contextual relationships between various beliefs.
 
 For more details, refer to our paper:
-"Neural Embedding of Beliefs Reveals the Role of Relative Dissonance in Human Decision-Making" ([arXiv:2408.07237](arXiv:2408.07237)). 
+"Neural Embedding of Beliefs Reveals the Role of Relative Dissonance in Human Decision-Making" ([arXiv:2408.07237](https://arxiv.org/abs/2408.07237)). 
 
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