Spaces:
Runtime error
Runtime error
File size: 2,046 Bytes
e202b16 |
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 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import os
from sentencepiece import SentencePieceProcessor
class Tokenizer:
"""Encoding/decoding text using SentencePiece."""
def __init__(self, model_path: str):
"""
Initializes the Tokenizer with a SentencePiece model.
Args:
model_path (str): The path to the SentencePiece model file.
"""
assert os.path.isfile(model_path), model_path
self.sp_model = SentencePieceProcessor(model_file=model_path)
self.n_words: int = self.sp_model.vocab_size()
self.bos_id: int = self.sp_model.bos_id()
self.eos_id: int = self.sp_model.eos_id()
self.pad_id: int = self.sp_model.pad_id()
print(
f"loaded SentencePiece model: "
f"#words: {self.n_words} - "
f"bos id: {self.bos_id} - "
f"eos id: {self.eos_id}"
)
assert self.sp_model.vocab_size() == self.sp_model.get_piece_size()
def encode(self, s: str, bos: bool = True, eos: bool = False) -> list[int]:
"""
Encodes a string into a list of token IDs.
Args:
s (str): The input string to be encoded.
bos (bool): Whether to prepend the beginning-of-sequence token.
eos (bool): Whether to append the end-of-sequence token.
Returns:
list[int]: A list of token IDs.
"""
assert type(s) is str
t = self.sp_model.encode(s)
if bos:
t = [self.bos_id] + t
if eos:
t = t + [self.eos_id]
return t
def decode(self, t: list[int]) -> str:
"""
Decodes a list of token IDs into a string.
Args:
t (list[int]): The list of token IDs to be decoded.
Returns:
str: The decoded string.
"""
return self.sp_model.decode(t)
|