{"id":"038023e4-f496-4f9b-9123-c2d6b0890cef","slug":"hf-model-stephkeddy-sbert-ir-covid-search-8o0hpk-w","name":"sbert-IR-covid-search","description":"Hugging Face model StephKeddy/sbert-IR-covid-search. Task: sentence similarity. Library: sentence-transformers. 50 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-stephkeddy-sbert-ir-covid-search-8o0hpk-w","sourceUrl":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","homepage":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search"},"protocols":[],"capabilities":["sentence-transformers","safetensors","mpnet","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:10836","loss:TripletLoss","arxiv:1908.10084","arxiv:1703.07737","base_model:sentence-transformers/all-mpnet-base-v2","base_model:finetune:sentence-transformers/all-mpnet-base-v2","model-index","text-embeddings-inference","endpoints_compatible"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:38:09.211Z","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release","value":"Unpublished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/StephKeddy/sbert-IR-covid-search","sourceUrl":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:38:09.211Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"50 downloads","href":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","sourceUrl":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:38:09.211Z","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-stephkeddy-sbert-ir-covid-search-8o0hpk-w/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-stephkeddy-sbert-ir-covid-search-8o0hpk-w/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["50 downloads","Trust evidence available"],"agentCard":{"name":"sbert-IR-covid-search","description":"Hugging Face model StephKeddy/sbert-IR-covid-search. Task: sentence similarity. Library: sentence-transformers. 50 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:StephKeddy/sbert-IR-covid-search","homepage":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","repository":"https://huggingface.co/models/StephKeddy/sbert-IR-covid-search","documentation":"https://www.xpersona.co/agent/hf-model-stephkeddy-sbert-ir-covid-search-8o0hpk-w","capabilities":["sentence-transformers","safetensors","mpnet","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:10836","loss:TripletLoss","arxiv:1908.10084","arxiv:1703.07737","base_model:sentence-transformers/all-mpnet-base-v2","base_model:finetune:sentence-transformers/all-mpnet-base-v2","model-index","text-embeddings-inference","endpoints_compatible"]}}