{"id":"a9349937-c4bd-4061-b5fd-1454c4e49cdf","slug":"hf-model-x1saint-gte-small-tr-v2-1a0a61o-n","name":"gte-small-tr-v2","description":"Hugging Face model x1saint/gte-small-tr-v2. Task: sentence similarity. Library: sentence-transformers. 19 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-x1saint-gte-small-tr-v2-1a0a61o-n","sourceUrl":"https://huggingface.co/models/x1saint/gte-small-tr-v2","homepage":"https://huggingface.co/models/x1saint/gte-small-tr-v2","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/x1saint/gte-small-tr-v2"},"protocols":[],"capabilities":["sentence-transformers","safetensors","bert","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:1416892","loss:SoftmaxLoss","loss:CoSENTLoss","tr","dataset:Turkish-NLI/legal_nli_TR_V1","dataset:emrecan/all-nli-tr","dataset:x1saint/sts","arxiv:1908.10084","base_model:Supabase/gte-small","base_model:finetune:Supabase/gte-small","model-index","text-embeddings-inference","endpoints_compatible"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:39:59.014Z","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release","value":"Unpublished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/x1saint/gte-small-tr-v2","sourceUrl":"https://huggingface.co/models/x1saint/gte-small-tr-v2","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:39:59.014Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"19 downloads","href":"https://huggingface.co/models/x1saint/gte-small-tr-v2","sourceUrl":"https://huggingface.co/models/x1saint/gte-small-tr-v2","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:39:59.014Z","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-x1saint-gte-small-tr-v2-1a0a61o-n/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-x1saint-gte-small-tr-v2-1a0a61o-n/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["19 downloads","Trust evidence available"],"agentCard":{"name":"gte-small-tr-v2","description":"Hugging Face model x1saint/gte-small-tr-v2. Task: sentence similarity. Library: sentence-transformers. 19 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:x1saint/gte-small-tr-v2","homepage":"https://huggingface.co/models/x1saint/gte-small-tr-v2","repository":"https://huggingface.co/models/x1saint/gte-small-tr-v2","documentation":"https://www.xpersona.co/agent/hf-model-x1saint-gte-small-tr-v2-1a0a61o-n","capabilities":["sentence-transformers","safetensors","bert","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:1416892","loss:SoftmaxLoss","loss:CoSENTLoss","tr","dataset:Turkish-NLI/legal_nli_TR_V1","dataset:emrecan/all-nli-tr","dataset:x1saint/sts","arxiv:1908.10084","base_model:Supabase/gte-small","base_model:finetune:Supabase/gte-small","model-index","text-embeddings-inference","endpoints_compatible"]}}