jgrosjean-mathesis
/

sentence-swissbert

Sentence Similarity

Inference Endpoints

Model card Files Files and versions Community

jgrosjean commited on Dec 11, 2023

Commit

0fed034

•

1 Parent(s): 3d7b6a6

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -6,7 +6,7 @@
 <!-- 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 the [Sentence Transformers](https://huggingface.co/sentence-transformers) approach (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).

 <!-- Provide a quick summary of what the model is/does. -->
+The [SwissBERT](https://huggingface.co/ZurichNLP/swissbert) model was 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 the [Sentence Transformers](https://huggingface.co/sentence-transformers) approach (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).