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lancopku / pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
MIT License
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自己指定postag的路径、自己指定model_name预训练模型路径 #153

Open jinzengnju opened 2 years ago

jinzengnju commented 2 years ago

pkuseg.pkuseg(model_name = "default", user_dict = "default", postag = False) model_name The path of the used model. "default". The default mixed-domain model. "news". The model trained on news domain data. "web". The model trained on web domain data. "medicine". The model trained on medicine domain data. "tourism". The model trained on tourism domain data. model_path. Load a model from the user-specified path. user_dict Set up the user dictionary. "default". Use the default dictionary. None. No dictionary is used. dict_path. The path of the user-defined dictionary. Each line only contains one word. postag POS tagging or not. False. The default setting. Segmentation without POS tagging. True. Segmentation with POS tagging.

如图，我要用到model_name=”web“ 以及 postag=True，我如何自己指定程序用到的postag与预训练模型的路径

xiehuiSheldon commented 1 year ago

set os.environ["PKUSEG_HOME"] = "your path" and have model file and postag file in "your path"

lcyyyyyyyyyyy commented 1 year ago

@.***，本次回复为系统自动回复！