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Minilm L6 H384 Uncased
這是microsoft/MiniLM-L12-H384-uncased的6層精簡版本，通過每隔一層保留結構實現輕量化
Downloads 9,300
Release Time : 3/2/2022
Model Overview
基於原始12層MiniLM模型的輕量化版本，保留了核心功能但減少了層數，適用於需要高效推理的場景
Model Features
輕量化設計
通過減少層數(從12層減至6層)實現模型壓縮，適合資源受限環境
保留核心能力
採用間隔保留層的策略，最大限度保持原始模型的語義理解能力
高效推理
層數減少帶來更快的推理速度和更低的內存佔用
Model Capabilities
文本嵌入
語義理解
句子相似度計算
Use Cases
語義檢索
文檔相似度匹配
快速計算文檔/句子間的語義相似度
高效實現大規模文檔檢索
輕量級NLP應用
移動端NLP
在資源受限設備上部署語義理解功能
降低硬件需求同時保持可用精度
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