{"ok":true,"entity":{"id":"transformers","name":"Transformers","entityType":"product","officialName":"Hugging Face Transformers","canonicalName":"Transformers","displayName":"Transformers（Hugging Face）","category":"MLライブラリ","shortDescription":"Hugging Faceが提供する、事前学習済みモデルを簡単に利用・学習できるオープンソースのライブラリ。","primaryCluster":"ai-infrastructure","parentEntity":"hugging-face","verificationStatus":"draft","website":"https://huggingface.co/docs/transformers","updatedAt":"2026-07-10T02:14:59.051Z","secondaryClusters":[],"alias":["Hugging Face Transformers","HF Transformers"],"searchKeywords":["Transformers","Hugging Face","事前学習モデル","ライブラリ"]},"references":[{"id":"P-01-001","companyId":"transformers","questionId":"P-01-001","instanceId":"QIN-transformers-P01-001","promptText":"Transformers（Hugging Face）とは何ですか？","promptTypeId":"P-01","answer":"Transformersは、Hugging 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Awardを受賞しており、査読を経た国際会議での発表という形で、ライブラリの設計思想（研究者向けの拡張性・実務者向けの簡便さ・産業実装への堅牢性の3点を重視）が公式に記録されています。","evidencePoints":["transformers-ev-cr3-emnlp2020paper"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/transformers/P-05-001","sourceEvidence":[{"id":"transformers-ev-cr3-emnlp2020paper","text":"EMNLP 2020のシステムデモンストレーション部門（2020年11月16-20日開催）にて、Hugging FaceのThomas Wolfら22名の著者による論文「Transformers: State-of-the-Art Natural Language Processing」が発表され、Honorable Demonstration Paper Awardを受賞した。論文はACL Anthologyのproceedings（38-45ページ）に掲載されている。","title":"Transformers: State-of-the-Art Natural Language 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