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157c47b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # -*- coding: utf-8 -*-
from pathlib import Path
from typing import Iterable, List, Union
import sentencepiece as spm
class SentencepiecesTokenizer:
def __init__(self, bpemodel: Union[Path, str], **kwargs):
self.bpemodel = str(bpemodel)
self.sp = None
self._build()
def __repr__(self):
return f'{self.__class__.__name__}(model="{self.bpemodel}")'
def _build(self):
if self.sp is None:
self.sp = spm.SentencePieceProcessor()
self.sp.load(self.bpemodel)
def text2tokens(self, line: str) -> List[str]:
self._build()
return self.sp.EncodeAsPieces(line)
def tokens2text(self, tokens: Iterable[str]) -> str:
self._build()
return self.sp.DecodePieces(list(tokens))
def encode(self, line: str) -> List[int]:
self._build()
return self.sp.EncodeAsIds(line)
def decode(self, line: List[int]):
self._build()
return self.sp.DecodeIds(line)
def get_vocab_size(self):
self._build()
return self.sp.GetPieceSize()
def ids2tokens(self, *args, **kwargs):
return self.decode(*args, **kwargs)
def tokens2ids(self, *args, **kwargs):
return self.encode(*args, **kwargs)
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