{"id":"6260fb38-7382-4621-9ea9-9dbd503faa47","slug":"hf-model-fluketj-test-model-congen-mpnet-base-all-nli-triplet-udn1c0-1g","name":"test-model-congen-mpnet-base-all-nli-triplet","description":"Hugging Face model FlukeTJ/test-model-congen-mpnet-base-all-nli-triplet. Task: sentence similarity. Library: sentence-transformers. 24 downloads.","capabilities":["sentence-transformers","safetensors","camembert","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:557850","loss:MultipleNegativesRankingLoss","en","dataset:sentence-transformers/all-nli","arxiv:1908.10084","arxiv:1705.00652","base_model:kornwtp/ConGen-BGE_M3-model-phayathaibert","base_model:finetune:kornwtp/ConGen-BGE_M3-model-phayathaibert","model-index","text-embeddings-inference","endpoints_compatible"],"protocols":[],"safetyScore":80,"overallRank":33.5,"trustScore":null,"trust":null,"source":"HUGGINGFACE","updatedAt":"2026-10-11T20:39:12.532Z"}