~ruther/guix-local

70510eb04712e995ae904c9299fecd166f5138ff — Nicolas Graves 3 years ago 46c4c6c
gnu: Add sentencepiece.

* gnu/packages/machine-learning.scm (sentencepiece): New variable.

Signed-off-by: Nicolas Goaziou <mail@nicolasgoaziou.fr>
1 files changed, 28 insertions(+), 0 deletions(-)

M gnu/packages/machine-learning.scm
M gnu/packages/machine-learning.scm => gnu/packages/machine-learning.scm +28 -0
@@ 583,6 583,34 @@ optimizing, and searching weighted finite-state transducers (FSTs).")
       '("--enable-shared" "--enable-far" "--enable-ngram-fsts"
         "--enable-lookahead-fsts" "--with-pic" "--disable-bin")))))

(define-public sentencepiece
  (package
    (name "sentencepiece")
    (version "0.1.97")
    (source
     (origin
       (method git-fetch)
       (uri (git-reference
             (url "https://github.com/google/sentencepiece")
             (commit (string-append "v" version))))
       (file-name (git-file-name name version))
       (sha256
        (base32 "1kzfkp2pk0vabyw3wmkh16h11chzq63mzc20ddhsag5fp6s91ajg"))))
    (build-system cmake-build-system)
    (arguments (list #:tests? #f))      ;no tests
    (native-inputs (list gperftools))
    (home-page "https://github.com/google/sentencepiece")
    (synopsis "Unsupervised tokenizer for Neural Network-based text generation")
    (description
     "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- or post-processing.")
    (license license:asl2.0)))

(define-public shogun
  (package
    (name "shogun")