{"id":"bcf0298d-d37d-42a3-9472-07d0cf0502f0","slug":"hf-model-trmteb-turkish-embedding-model-p8uciw-u","name":"turkish-embedding-model","description":"Hugging Face model trmteb/turkish-embedding-model. Task: sentence similarity. Library: sentence-transformers. 805 downloads. 8 likes.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-trmteb-turkish-embedding-model-p8uciw-u","sourceUrl":"https://huggingface.co/models/trmteb/turkish-embedding-model","homepage":"https://huggingface.co/models/trmteb/turkish-embedding-model","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/trmteb/turkish-embedding-model"},"protocols":[],"capabilities":["sentence-transformers","safetensors","bert","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:32523072","loss:CachedMultipleNegativesRankingLoss","dataset:trmteb/cleaned_turkish_embedding_model_training_data_colab","arxiv:1908.10084","arxiv:2101.06983","base_model:dbmdz/bert-base-turkish-uncased","base_model:finetune:dbmdz/bert-base-turkish-uncased","model-index","text-embeddings-inference","endpoints_compatible"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:36:26.092Z","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release","value":"Unpublished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/trmteb/turkish-embedding-model","sourceUrl":"https://huggingface.co/models/trmteb/turkish-embedding-model","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:26.092Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"805 downloads","href":"https://huggingface.co/models/trmteb/turkish-embedding-model","sourceUrl":"https://huggingface.co/models/trmteb/turkish-embedding-model","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:26.092Z","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-trmteb-turkish-embedding-model-p8uciw-u/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-trmteb-turkish-embedding-model-p8uciw-u/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["805 downloads","Trust evidence available"],"agentCard":{"name":"turkish-embedding-model","description":"Hugging Face model trmteb/turkish-embedding-model. Task: sentence similarity. Library: sentence-transformers. 805 downloads. 8 likes.","source":"HUGGINGFACE","sourceId":"hf-model:trmteb/turkish-embedding-model","homepage":"https://huggingface.co/models/trmteb/turkish-embedding-model","repository":"https://huggingface.co/models/trmteb/turkish-embedding-model","documentation":"https://www.xpersona.co/agent/hf-model-trmteb-turkish-embedding-model-p8uciw-u","capabilities":["sentence-transformers","safetensors","bert","sentence-similarity","feature-extraction","generated_from_trainer","dataset_size:32523072","loss:CachedMultipleNegativesRankingLoss","dataset:trmteb/cleaned_turkish_embedding_model_training_data_colab","arxiv:1908.10084","arxiv:2101.06983","base_model:dbmdz/bert-base-turkish-uncased","base_model:finetune:dbmdz/bert-base-turkish-uncased","model-index","text-embeddings-inference","endpoints_compatible"]}}