{"id":"0e04f480-8e36-4a43-82a6-31ba20239ec5","slug":"hf-model-fluketj-test-model-mpnet-base-all-nli-triplet-1kkhtp5-19","name":"test-model-mpnet-base-all-nli-triplet","description":"Hugging Face model FlukeTJ/test-model-mpnet-base-all-nli-triplet. Task: sentence similarity. Library: sentence-transformers. 20 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/SCT-model-phayathaibert","base_model:finetune:kornwtp/SCT-model-phayathaibert","model-index","text-embeddings-inference","endpoints_compatible"],"protocols":[],"safetyScore":80,"overallRank":33,"trustScore":null,"trust":null,"source":"HUGGINGFACE","updatedAt":"2026-10-11T20:39:44.511Z"}