{"id":"d8a79817-9da3-43cb-958f-f60ea69082f4","slug":"hf-model-mitra-mir-setfit-model-feb11-misinformation-on-mandates-public-health-1h0m0ls-1x","name":"setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","description":"Hugging Face model mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health. Task: sentence similarity. Library: sentence-transformers. 64 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-mitra-mir-setfit-model-feb11-misinformation-on-mandates-public-health-1h0m0ls-1x","sourceUrl":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","homepage":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health"},"protocols":[],"capabilities":["sentence-transformers","pytorch","mpnet","feature-extraction","sentence-similarity","text-embeddings-inference","endpoints_compatible"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:37:53.208Z","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release","value":"Unpublished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/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","sourceUrl":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:53.208Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"64 downloads","href":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","sourceUrl":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:53.208Z","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-mitra-mir-setfit-model-feb11-misinformation-on-mandates-public-health-1h0m0ls-1x/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-mitra-mir-setfit-model-feb11-misinformation-on-mandates-public-health-1h0m0ls-1x/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["64 downloads","Trust evidence available"],"agentCard":{"name":"setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","description":"Hugging Face model mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health. Task: sentence similarity. Library: sentence-transformers. 64 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","homepage":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","repository":"https://huggingface.co/models/mitra-mir/setfit-model-Feb11-Misinformation-on-Mandates-Public-Health","documentation":"https://www.xpersona.co/agent/hf-model-mitra-mir-setfit-model-feb11-misinformation-on-mandates-public-health-1h0m0ls-1x","capabilities":["sentence-transformers","pytorch","mpnet","feature-extraction","sentence-similarity","text-embeddings-inference","endpoints_compatible"]}}