a g@s*ddlmZddlmZGdddZdS))M2M100ForConditionalGeneration)SMALL100Tokenizerc@s8eZdZdZd eeddddZd eeed d d ZdS)Small100Translatorz Machine Translation using small100 model - Huggingface https://huggingface.co/alirezamsh/small100 :param bool use_gpu : load model using GPU (Default is False) Falirezamsh/small100N)use_gpu pretrainedreturncCs.||_t|j|_d|_|r*|j|_dS)N)rrfrom_pretrainedmodeltgt_langZcuda)selfrrrF/usr/local/lib/python3.9/dist-packages/pythainlp/translate/small100.py__init__ s zSmall100Translator.__init__en)textr r cCsV||jkr"tj|j|d|_||_|jjfi|j|dd|_|jj|jdddS)uK Translate text from X to X :param str text: input text in source language :param str tgt_lang: target language :return: translated text in target language :rtype: str :Example: :: from pythainlp.translate.small100 import Small100Translator mt = Small100Translator() # Translate text from Thai to English mt.translate("ทดสอบระบบ", tgt_lang="en") # output: 'Testing system' # Translate text from Thai to Chinese mt.translate("ทดสอบระบบ", tgt_lang="zh") # output: '系统测试' # Translate text from Thai to French mt.translate("ทดสอบระบบ", tgt_lang="fr") # output: 'Test du système' )r pt)Zreturn_tensorsT)Zskip_special_tokensr) r rr r tokenizerr generateZ translatedZ batch_decode)r rr rrr translates   zSmall100Translator.translate)Fr)r)__name__ __module__ __qualname____doc__boolstrrrrrrrrs  rN)Z transformersrZtokenization_small100rrrrrrs