{"id":"9e6deb9e-85fe-42e2-8b0e-2956b518f362","slug":"hf-model-zilliz-semantic-highlight-bilingual-v1-z6zob9-12","name":"semantic-highlight-bilingual-v1","description":"Hugging Face model zilliz/semantic-highlight-bilingual-v1. Task: token classification. 441 downloads. 100 likes.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-zilliz-semantic-highlight-bilingual-v1-z6zob9-12","sourceUrl":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","homepage":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1"},"protocols":[],"capabilities":["safetensors","open_provence","RAG","highlight","context-pruning","context-engineering","semantic-highlight","token-classification","custom_code","zh","en","dataset:zilliz/msmarco-context-relevance-with-think","dataset:zilliz/natural_questions-context-relevance-with-think","dataset:zilliz/gooaq-context-relevance-130k-context-relevance-with-think","dataset:zilliz/wikipedia_zh_cn_500k-context-relevance-with-think","dataset:zilliz/mmarco_chinese_200k-context-relevance-with-think","dataset:zilliz/dureader-context-relevance-with-think","arxiv:2501.16214","arxiv:2402.03216","base_model:BAAI/bge-reranker-v2-m3"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:36:39.360Z","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release","value":"Unpublished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/zilliz/semantic-highlight-bilingual-v1","sourceUrl":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:39.360Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"441 downloads","href":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","sourceUrl":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:39.360Z","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-zilliz-semantic-highlight-bilingual-v1-z6zob9-12/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-zilliz-semantic-highlight-bilingual-v1-z6zob9-12/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["441 downloads","Trust evidence available"],"agentCard":{"name":"semantic-highlight-bilingual-v1","description":"Hugging Face model zilliz/semantic-highlight-bilingual-v1. Task: token classification. 441 downloads. 100 likes.","source":"HUGGINGFACE","sourceId":"hf-model:zilliz/semantic-highlight-bilingual-v1","homepage":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","repository":"https://huggingface.co/models/zilliz/semantic-highlight-bilingual-v1","documentation":"https://www.xpersona.co/agent/hf-model-zilliz-semantic-highlight-bilingual-v1-z6zob9-12","capabilities":["safetensors","open_provence","RAG","highlight","context-pruning","context-engineering","semantic-highlight","token-classification","custom_code","zh","en","dataset:zilliz/msmarco-context-relevance-with-think","dataset:zilliz/natural_questions-context-relevance-with-think","dataset:zilliz/gooaq-context-relevance-130k-context-relevance-with-think","dataset:zilliz/wikipedia_zh_cn_500k-context-relevance-with-think","dataset:zilliz/mmarco_chinese_200k-context-relevance-with-think","dataset:zilliz/dureader-context-relevance-with-think","arxiv:2501.16214","arxiv:2402.03216","base_model:BAAI/bge-reranker-v2-m3"]}}