File size: 2,817 Bytes
e4b9a7b | 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 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
from typing import List
from transformers import (
CamembertTokenizer,
pipeline,
)
model_name = "airesearch/wangchanberta-base-att-spm-uncased"
class Thai2transformersAug:
def __init__(self):
self.model_name = "airesearch/wangchanberta-base-att-spm-uncased"
self.target_tokenizer = CamembertTokenizer
self.tokenizer = CamembertTokenizer.from_pretrained(
self.model_name, revision="main"
)
self.tokenizer.additional_special_tokens = [
"<s>NOTUSED",
"</s>NOTUSED",
"<_>",
]
self.fill_mask = pipeline(
task="fill-mask",
tokenizer=self.tokenizer,
model=f"{self.model_name}",
revision="main",
)
self.MASK_TOKEN = self.tokenizer.mask_token
def generate(self, sentence: str, num_replace_tokens: int = 3):
self.sent2 = []
self.input_text = sentence
sent = [
i for i in self.tokenizer.tokenize(self.input_text) if i != "▁"
]
if len(sent) < num_replace_tokens:
num_replace_tokens = len(sent)
masked_text = self.input_text
for i in range(num_replace_tokens):
masked_text = masked_text + self.MASK_TOKEN
self.sent2 += [
str(j["sequence"]).replace("<s> ", "").replace("</s>", "")
for j in self.fill_mask(masked_text)
if j["sequence"] not in self.sent2
]
masked_text = self.input_text
return self.sent2
def augment(self, sentence: str, num_replace_tokens: int = 3) -> List[str]:
"""
Text augmentation from WangchanBERTa
:param str sentence: Thai sentence
:param int num_replace_tokens: number replace tokens
:return: list of text augment
:rtype: List[str]
:Example:
::
from pythainlp.augment.lm import Thai2transformersAug
aug = Thai2transformersAug()
aug.augment("ช้างมีทั้งหมด 50 ตัว บน")
# output: ['ช้างมีทั้งหมด 50 ตัว บนโลกใบนี้',
'ช้างมีทั้งหมด 50 ตัว บนสุด',
'ช้างมีทั้งหมด 50 ตัว บนบก',
'ช้างมีทั้งหมด 50 ตัว บนนั้น',
'ช้างมีทั้งหมด 50 ตัว บนหัว']
"""
self.sent2 = []
self.sent2 = self.generate(sentence, num_replace_tokens)
return self.sent2
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