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#

distance

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่‡ช็„ถ่ฏญ่จ€ๅค„็†๏ผˆnlp๏ผ‰๏ผŒๅฐๅงœๆœบๅ™จไบบ๏ผˆ้—ฒ่Šๆฃ€็ดขๅผchatbot๏ผ‰๏ผŒBERTๅฅๅ‘้‡-็›ธไผผๅบฆ๏ผˆSentence Similarity๏ผ‰๏ผŒXLNETๅฅๅ‘้‡-็›ธไผผๅบฆ๏ผˆtext xlnet embedding๏ผ‰๏ผŒๆ–‡ๆœฌๅˆ†็ฑป๏ผˆText classification๏ผ‰๏ผŒ ๅฎžไฝ“ๆๅ–๏ผˆner๏ผŒbert+bilstm+crf๏ผ‰๏ผŒๆ•ฐๆฎๅขžๅผบ๏ผˆtext augment, data enhance๏ผ‰๏ผŒๅŒไน‰ๅฅๅŒไน‰่ฏ็”Ÿๆˆ๏ผŒๅฅๅญไธปๅนฒๆๅ–๏ผˆmainpart๏ผ‰๏ผŒไธญๆ–‡ๆฑ‰่ฏญ็Ÿญๆ–‡ๆœฌ็›ธไผผๅบฆ๏ผŒๆ–‡ๆœฌ็‰นๅพๅทฅ็จ‹๏ผŒkeras-http-service่ฐƒ็”จ

  • Updated Sep 23, 2021
  • Python

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

  • Updated May 8, 2026
  • Cuda

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