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(this page)| 2023-07-18 20:47:54 by Nia Alarie | Files touched by this commit (10) |
Log message: textproc: Adapt packages (where possible) to USE_(CC|CXX)_FEATURES |
| 2023-07-13 15:55:10 by Nia Alarie | Files touched by this commit (2) |
Log message: *: Revert two recent commits that dropped a cwrappers-enforced C++ standard by packages that already use -std=c++XX until the discussion about C++ standard versions is resolved. Requested by pkgsrc-pmc@. |
| 2023-07-13 15:49:17 by Nia Alarie | Files touched by this commit (11) |
Log message: *: Remove all instances of GCC_REQD where my name is the most recent in 'cvs annotate' (part 2) |
| 2023-07-12 16:52:16 by Havard Eidnes | Files touched by this commit (1) |
Log message: sentencepiece: Use mk/atomic64.mk as that's required. |
| 2023-07-11 08:09:29 by Nia Alarie | Files touched by this commit (2) |
Log message: sentencepiece: Require a C++17 compiler the proper way. |
| 2023-03-13 15:17:12 by Thomas Klausner | Files touched by this commit (6) |
Log message: textproc/sentencepiece: import sentencepiece-0.1.97 SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE)) and unigram language model with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing. |
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