Update README.md

README.md

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 # nb-bert-base-matryoshka
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on the utdanning_pair, [ltg/norquad](https://huggingface.co/datasets/ltg/norquad) and [NbAiLab/mnli-norwegian](https://huggingface.co/datasets/NbAiLab/mnli-norwegian) datasets. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+As with the BGE architecture and Artic-embed I use the final hidden state of the [CLS] token as the embedding vector, instead of a mean pooling strategy.
 
 ## Model Details