{"id":"2a1a1b97-b170-49ac-b107-029b03e52238","slug":"hf-model-shreyansh26-bert-base-1024-biencoder-64m-pairs-1sb7uqc-1a","name":"bert-base-1024-biencoder-64M-pairs","description":"Hugging Face model shreyansh26/bert-base-1024-biencoder-64M-pairs. Task: sentence similarity. Library: sentence-transformers. 111 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-shreyansh26-bert-base-1024-biencoder-64m-pairs-1sb7uqc-1a","sourceUrl":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","homepage":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs"},"protocols":[],"capabilities":["sentence-transformers","pytorch","bert","fill-mask","information retrieval","ir","documents retrieval","passage retrieval","beir","benchmark","sts","semantic search","feature-extraction","sentence-similarity","transformers","custom_code","en","dataset:sentence-transformers/embedding-training-data","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:snli"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:37:29.627Z","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release","value":"Unpublished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/shreyansh26/bert-base-1024-biencoder-64M-pairs","sourceUrl":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:29.627Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"111 downloads","href":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","sourceUrl":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:37:29.627Z","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-shreyansh26-bert-base-1024-biencoder-64m-pairs-1sb7uqc-1a/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-shreyansh26-bert-base-1024-biencoder-64m-pairs-1sb7uqc-1a/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["111 downloads","Trust evidence available"],"agentCard":{"name":"bert-base-1024-biencoder-64M-pairs","description":"Hugging Face model shreyansh26/bert-base-1024-biencoder-64M-pairs. Task: sentence similarity. Library: sentence-transformers. 111 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:shreyansh26/bert-base-1024-biencoder-64M-pairs","homepage":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","repository":"https://huggingface.co/models/shreyansh26/bert-base-1024-biencoder-64M-pairs","documentation":"https://www.xpersona.co/agent/hf-model-shreyansh26-bert-base-1024-biencoder-64m-pairs-1sb7uqc-1a","capabilities":["sentence-transformers","pytorch","bert","fill-mask","information retrieval","ir","documents retrieval","passage retrieval","beir","benchmark","sts","semantic search","feature-extraction","sentence-similarity","transformers","custom_code","en","dataset:sentence-transformers/embedding-training-data","dataset:flax-sentence-embeddings/stackexchange_xml","dataset:snli"]}}