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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 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Lalita Chinese-Thai Machine Translation
from AI builder
- GitHub: https://github.com/LalitaDeelert/lalita-mt-zhth
- Facebook post https://web.facebook.com/aibuildersx/posts/166736255494822
"""
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
class ThZhTranslator:
"""
Thai-Chinese Machine Translation
from Lalita @ AI builder
- GitHub: https://github.com/LalitaDeelert/lalita-mt-zhth
- Facebook post https://web.facebook.com/aibuildersx/posts/166736255494822
:param bool use_gpu : load model using GPU (Default is False)
"""
def __init__(
self,
use_gpu: bool = False,
pretrained: str = "Lalita/marianmt-th-zh_cn",
) -> None:
self.tokenizer_thzh = AutoTokenizer.from_pretrained(pretrained)
self.model_thzh = AutoModelForSeq2SeqLM.from_pretrained(pretrained)
if use_gpu:
self.model_thzh = self.model_thzh.cuda()
def translate(self, text: str) -> str:
"""
Translate text from Thai to Chinese
:param str text: input text in source language
:return: translated text in target language
:rtype: str
:Example:
Translate text from Thai to Chinese::
from pythainlp.translate import ThZhTranslator
thzh = ThZhTranslator()
thzh.translate("ผมรักคุณ")
# output: 我爱你
"""
self.translated = self.model_thzh.generate(
**self.tokenizer_thzh(text, return_tensors="pt", padding=True)
)
return [
self.tokenizer_thzh.decode(t, skip_special_tokens=True)
for t in self.translated
][0]
class ZhThTranslator:
"""
Chinese-Thai Machine Translation
from Lalita @ AI builder
- GitHub: https://github.com/LalitaDeelert/lalita-mt-zhth
- Facebook post https://web.facebook.com/aibuildersx/posts/166736255494822
:param bool use_gpu : load model using GPU (Default is False)
"""
def __init__(
self,
use_gpu: bool = False,
pretrained: str = "Lalita/marianmt-zh_cn-th",
) -> None:
self.tokenizer_zhth = AutoTokenizer.from_pretrained(pretrained)
self.model_zhth = AutoModelForSeq2SeqLM.from_pretrained(pretrained)
if use_gpu:
self.model_zhth.cuda()
def translate(self, text: str) -> str:
"""
Translate text from Chinese to Thai
:param str text: input text in source language
:return: translated text in target language
:rtype: str
:Example:
Translate text from Chinese to Thai::
from pythainlp.translate import ZhThTranslator
zhth = ZhThTranslator()
zhth.translate("我爱你")
# output: ผมรักคุณนะ
"""
self.translated = self.model_zhth.generate(
**self.tokenizer_zhth(text, return_tensors="pt", padding=True)
)
return [
self.tokenizer_zhth.decode(t, skip_special_tokens=True)
for t in self.translated
][0]
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