运行此代码会产生以下错误: descriptor 'lower' requires a 'str' object but received a 'spacy.tokens.doc.Doc 使用调试器,我发现错误发生在以下行(在Torch文件'pipeline.py‘的类字段(RawField)的类方法preprocess(x)中 if self.lower:
x = Pipeline(six.text_t
因此,我正在尝试制作一个seq到seq模型,用于使用像kaggle笔记本和google colab这样的在线笔记本上的py手电筒将德文翻译成英语。import torchimport torch.optim as optim
from torchtext.datasets import Multi30ktorch.utils.tensorboard import SummaryWriter # to print to te
遵循诸如该之类的文档。# We use the Spacy function because it provides strong support for tokenization in languages otherthan EnglishLABEL = data.LabelField(dtype_) # how to initialize unseen words not in glove
我正在尝试导入import spacy_sentence_bert并在python中运行以下代码。我在anaconda提示符上安装了conda install -c conda-forge spacy-transformers。import spacy_sentence_bert我收到的错误如下:
ModuleNotFoundError: No mo