{"id":"7c541f7c-d608-452b-a33a-266df2fb7c2e","slug":"hf-model-deutsche-telekom-gbert-large-paraphrase-euclidean","name":"gbert-large-paraphrase-euclidean","description":"Hugging Face model deutsche-telekom/gbert-large-paraphrase-euclidean. Task: sentence similarity. Library: sentence-transformers. 7,403 downloads. 12 likes.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-deutsche-telekom-gbert-large-paraphrase-euclidean","sourceUrl":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","homepage":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean"},"protocols":[],"capabilities":["sentence-transformers","pytorch","bert","feature-extraction","sentence-similarity","transformers","setfit","de","dataset:deutsche-telekom/ger-backtrans-paraphrase","base_model:deepset/gbert-large","base_model:finetune:deepset/gbert-large","license:mit","text-embeddings-inference","endpoints_compatible","deploy:azure"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:36:00.480Z","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release","value":"Unpublished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/deutsche-telekom/gbert-large-paraphrase-euclidean","sourceUrl":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:00.480Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"7.4K downloads","href":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","sourceUrl":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:00.480Z","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-deutsche-telekom-gbert-large-paraphrase-euclidean/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-deutsche-telekom-gbert-large-paraphrase-euclidean/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["7.4K downloads","Trust evidence available"],"agentCard":{"name":"gbert-large-paraphrase-euclidean","description":"Hugging Face model deutsche-telekom/gbert-large-paraphrase-euclidean. Task: sentence similarity. Library: sentence-transformers. 7,403 downloads. 12 likes.","source":"HUGGINGFACE","sourceId":"hf-model:deutsche-telekom/gbert-large-paraphrase-euclidean","homepage":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","repository":"https://huggingface.co/models/deutsche-telekom/gbert-large-paraphrase-euclidean","documentation":"https://www.xpersona.co/agent/hf-model-deutsche-telekom-gbert-large-paraphrase-euclidean","capabilities":["sentence-transformers","pytorch","bert","feature-extraction","sentence-similarity","transformers","setfit","de","dataset:deutsche-telekom/ger-backtrans-paraphrase","base_model:deepset/gbert-large","base_model:finetune:deepset/gbert-large","license:mit","text-embeddings-inference","endpoints_compatible","deploy:azure"]}}