{"id":"36af3cef-073f-4ed7-8a2b-445af46817b9","slug":"hf-model-bjarnenpo-bjarnenpo-28-08-2025-15-26-21-xdgla0-13","name":"BjarneNPO-28_08_2025_15_26_21","description":"Hugging Face model BjarneNPO/BjarneNPO-28_08_2025_15_26_21. Task: sentence similarity. Library: sentence-transformers. 71 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-bjarnenpo-bjarnenpo-28-08-2025-15-26-21-xdgla0-13","sourceUrl":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","homepage":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21"},"protocols":[],"capabilities":["sentence-transformers","tensorboard","safetensors","xlm-roberta","sentence-similarity","feature-extraction","dense","generated_from_trainer","dataset_size:72349","loss:MultipleNegativesRankingLoss","arxiv:1908.10084","arxiv:1705.00652","base_model:sentence-transformers/paraphrase-multilingual-mpnet-base-v2","base_model:finetune:sentence-transformers/paraphrase-multilingual-mpnet-base-v2","model-index","text-embeddings-inference","endpoints_compatible"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:37:49.054Z","freshnessLabel":"Oct 11, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"Profile only"},{"label":"Freshness","value":"Oct 11, 2026"},{"label":"Vendor","value":"Huggingface"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Huggingface","href":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","sourceUrl":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:49.054Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"71 downloads","href":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","sourceUrl":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:49.054Z","isPublic":true},{"factKey":"docs_crawl","category":"integration","label":"Crawlable docs","value":"6 indexed pages on the official domain","href":"https://huggingface.co/pcuenq/activity/likes","sourceUrl":"https://huggingface.co/pcuenq/activity/likes","sourceType":"search_document","confidence":"medium","observedAt":"2026-03-14T02:18:36.466Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/hf-model-bjarnenpo-bjarnenpo-28-08-2025-15-26-21-xdgla0-13/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-bjarnenpo-bjarnenpo-28-08-2025-15-26-21-xdgla0-13/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["71 downloads","Trust evidence available"],"agentCard":{"name":"BjarneNPO-28_08_2025_15_26_21","description":"Hugging Face model BjarneNPO/BjarneNPO-28_08_2025_15_26_21. Task: sentence similarity. Library: sentence-transformers. 71 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:BjarneNPO/BjarneNPO-28_08_2025_15_26_21","homepage":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","repository":"https://huggingface.co/models/BjarneNPO/BjarneNPO-28_08_2025_15_26_21","documentation":"https://www.xpersona.co/agent/hf-model-bjarnenpo-bjarnenpo-28-08-2025-15-26-21-xdgla0-13","capabilities":["sentence-transformers","tensorboard","safetensors","xlm-roberta","sentence-similarity","feature-extraction","dense","generated_from_trainer","dataset_size:72349","loss:MultipleNegativesRankingLoss","arxiv:1908.10084","arxiv:1705.00652","base_model:sentence-transformers/paraphrase-multilingual-mpnet-base-v2","base_model:finetune:sentence-transformers/paraphrase-multilingual-mpnet-base-v2","model-index","text-embeddings-inference","endpoints_compatible"]}}