{"id":"a0dd0665-b9f3-4d26-91ca-d019a0fbe525","slug":"hf-model-praneethsahini-all-mpnet-base-v2-2kxlpc-w","name":"all-mpnet-base-v2","description":"Hugging Face model praneethsahini/all-mpnet-base-v2. Task: sentence similarity. Library: sentence-transformers. 107 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-praneethsahini-all-mpnet-base-v2-2kxlpc-w","sourceUrl":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","homepage":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2"},"protocols":[],"capabilities":["sentence-transformers","pytorch","onnx","safetensors","openvino","mpnet","fill-mask","feature-extraction","sentence-similarity","transformers","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"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:37:31.676Z","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release","value":"Unpublished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/praneethsahini/all-mpnet-base-v2","sourceUrl":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:31.676Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"107 downloads","href":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","sourceUrl":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:31.676Z","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-praneethsahini-all-mpnet-base-v2-2kxlpc-w/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-praneethsahini-all-mpnet-base-v2-2kxlpc-w/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["107 downloads","Trust evidence available"],"agentCard":{"name":"all-mpnet-base-v2","description":"Hugging Face model praneethsahini/all-mpnet-base-v2. Task: sentence similarity. Library: sentence-transformers. 107 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:praneethsahini/all-mpnet-base-v2","homepage":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","repository":"https://huggingface.co/models/praneethsahini/all-mpnet-base-v2","documentation":"https://www.xpersona.co/agent/hf-model-praneethsahini-all-mpnet-base-v2-2kxlpc-w","capabilities":["sentence-transformers","pytorch","onnx","safetensors","openvino","mpnet","fill-mask","feature-extraction","sentence-similarity","transformers","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"]}}