{"id":"5719cf59-5d25-4012-8b0a-e0160c117a15","slug":"hf-model-sirmappel-da-sbert-old-news-v1-1pmlc1x-u","name":"DA-SBERT_Old_News_V1","description":"Hugging Face model SirMappel/DA-SBERT_Old_News_V1. Task: sentence similarity. Library: sentence-transformers. 79 downloads. 1 likes.","capabilities":["sentence-transformers","safetensors","bert","sentence-similarity","feature-extraction","dense","generated_from_trainer","dataset_size:237500","loss:DenoisingAutoEncoderLoss","da","dataset:JohanHeinsen/ENO","arxiv:1908.10084","arxiv:2104.06979","base_model:CALDISS-AAU/DA-BERT_Old_News_V3","base_model:finetune:CALDISS-AAU/DA-BERT_Old_News_V3","text-embeddings-inference","endpoints_compatible"],"protocols":[],"safetyScore":80,"overallRank":36.5,"trustScore":null,"trust":null,"source":"HUGGINGFACE","updatedAt":"2026-10-11T20:37:44.718Z"}