返回全部动态

土耳其语BERT句向量模型发布

原标题:emrecan/bert-base-turkish-cased-mean-nli-stsb-tr

Hugging Face New and Trending Models一手来源模型发布质量 76

AI 摘要

Hugging Face 上发布了土耳其语句向量模型 emrecan/bert-base-turkish-cased-mean-nli-stsb-tr,基于 BERT 架构,通过 sentence-transformers 框架训练,支持语义搜索和聚类。模型在土耳其语 NLI 和 STS-b 数据集上训练,测试集上余弦相似度 Pearson 相关系数达 0.834。该模型为土耳其语自然语言处理任务提供了新的工具。

以上摘要由 AI 生成,可能存在误差。事实请以原文为准。

正文节选

--- language: - tr pipeline_tag: sentence-similarity license: apache-2.0 tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers datasets: - nli_tr - emrecan/stsb-mt-turkish widget: - source_sentence: "Bu çok mutlu bir kişi" sentences: - "Bu mutlu bir köpek" - "Bu sevincinden havalara uçan bir insan" - "Çok kar yağıyor" --- # emrecan/bert-base-turkish-cased-mean-nli-stsb-tr This is a [sentence-transformers](https://www.SBERT.net) mod


发布时间:2026-09-05 16:37
抓取时间:2026-09-05 16:38
来源机构:Hugging Face
阅读原文huggingface.co