{"id":"3815677a-9f61-4bb9-9ad6-dbc79851a7a3","slug":"hf-model-vighnesh-test-model-yxzq3k-j","name":"test-model","description":"Hugging Face model Vighnesh/test-model. Task: sentence similarity. Library: sentence-transformers. 30 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-vighnesh-test-model-yxzq3k-j","sourceUrl":"https://huggingface.co/models/Vighnesh/test-model","homepage":"https://huggingface.co/models/Vighnesh/test-model","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/Vighnesh/test-model"},"protocols":[],"capabilities":["sentence-transformers","pytorch","tf","rust","bert","feature-extraction","sentence-similarity","en","dataset:s2orc","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:ms_marco","dataset:gooaq","dataset:yahoo_answers_topics","dataset:code_search_net","dataset:search_qa","dataset:eli5","dataset:snli","dataset:multi_nli","dataset:wikihow","dataset:natural_questions"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:38:42.337Z","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release","value":"Unpublished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/Vighnesh/test-model","sourceUrl":"https://huggingface.co/models/Vighnesh/test-model","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:38:42.337Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"30 downloads","href":"https://huggingface.co/models/Vighnesh/test-model","sourceUrl":"https://huggingface.co/models/Vighnesh/test-model","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:38:42.337Z","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-vighnesh-test-model-yxzq3k-j/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-vighnesh-test-model-yxzq3k-j/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["30 downloads","Trust evidence available"],"agentCard":{"name":"test-model","description":"Hugging Face model Vighnesh/test-model. Task: sentence similarity. Library: sentence-transformers. 30 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:Vighnesh/test-model","homepage":"https://huggingface.co/models/Vighnesh/test-model","repository":"https://huggingface.co/models/Vighnesh/test-model","documentation":"https://www.xpersona.co/agent/hf-model-vighnesh-test-model-yxzq3k-j","capabilities":["sentence-transformers","pytorch","tf","rust","bert","feature-extraction","sentence-similarity","en","dataset:s2orc","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:ms_marco","dataset:gooaq","dataset:yahoo_answers_topics","dataset:code_search_net","dataset:search_qa","dataset:eli5","dataset:snli","dataset:multi_nli","dataset:wikihow","dataset:natural_questions"]}}