Update README.md

README.md

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 <!-- Provide a quick summary of what the model is/does. -->
 
-The [SwissBERT](https://huggingface.co/ZurichNLP/swissbert) model finetuned via [SimCSE](http://dx.doi.org/10.18653/v1/2021.emnlp-main.552) (Gao et al., EMNLP 2021) for sentence embeddings, using ~1 million Swiss news articles published in 2022 from [Swissdox@LiRI](https://t.uzh.ch/1hI). Following [https://huggingface.co/sentence-transformers](Sentence Transformers') example, the average of the last hidden states (pooler_type=avg) is used as sentence representation
+The [SwissBERT](https://huggingface.co/ZurichNLP/swissbert) model finetuned via [SimCSE](http://dx.doi.org/10.18653/v1/2021.emnlp-main.552) (Gao et al., EMNLP 2021) for sentence embeddings, using ~1 million Swiss news articles published in 2022 from [Swissdox@LiRI](https://t.uzh.ch/1hI). Following [Sentence Transformers](https://huggingface.co/sentence-transformers)) example (Reimers and Gurevych,
+2019), the average of the last hidden states (pooler_type=avg) is used as sentence representation.
+
+The fine-tuning script can be accessed [here](Link).
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6564ab8d113e2baa55830af0/1Ac61s_mlgW5aL6OnS6ay.png)