{"id":"a33f4853-cdf8-4e27-9f33-91dd37df0f08","slug":"hf-model-monad-dz-legal-embedding-model-v5-l34usn-x","name":"legal-embedding-model-V5","description":"Hugging Face model Monad-dz/legal-embedding-model-V5. Task: feature extraction. Library: sentence-transformers. 55 downloads.","capabilities":["sentence-transformers","safetensors","bert","feature-extraction","transformers.js","transformers","sentence-similarity","dataset_size:75000","loss:MatryoshkaLoss","loss:MultipleNegativesRankingLoss","mteb","ar","dataset:akhooli/arabic-triplets-1m-curated-sims-len","arxiv:2505.24581","base_model:aubmindlab/bert-base-arabertv02","base_model:finetune:aubmindlab/bert-base-arabertv02","license:apache-2.0","text-embeddings-inference","endpoints_compatible"],"protocols":[],"safetyScore":80,"overallRank":35.5,"trustScore":null,"trust":null,"source":"HUGGINGFACE","updatedAt":"2026-10-11T20:38:04.380Z"}