This is a Norwegian sentence embedding model trained using the SimCSE methodology (Gao et.al, SimCSE: Simple Contrastive Learning of Sentence Embeddings, EMNLP 2021). It is trained from the NB-BERT-large model (https://huggingface.co/NbAiLab/nb-bert-large/). It is trained supervised on the Norwegian automatically translated mnli dataset (https://huggingface.co/datasets/NbAiLab/mnli-norwegian).

The training and performance of this model is described in the paper "Training and Evaluating Norwegian Sentece Embedding Models", published at NoDaLiDa 2023 (https://openreview.net/forum?id=tcxy7vRVKlg). In that paper we describe training several different Norwegian sentence embedding models. This is the best performing model on STS data of those described in the paper.
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transformers pytorch bert no endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #no #endpoints_compatible #region-us 

This is a Norwegian sentence embedding model trained using the SimCSE methodology (Gao URL, SimCSE: Simple Contrastive Learning of Sentence Embeddings, EMNLP 2021). It is trained from the NB-BERT-large model (URL It is trained supervised on the Norwegian automatically translated mnli dataset (URL

The training and performance of this model is described in the paper "Training and Evaluating Norwegian Sentece Embedding Models", published at NoDaLiDa 2023 (URL In that paper we describe training several different Norwegian sentence embedding models. This is the best performing model on STS data of those described in the paper.
TAGS
#transformers #pytorch #bert #no #endpoints_compatible #region-us 
