from torchtext.data.utils import get_tokenizer tokenizer = get_tokenizer("spacy") train_dataset, test_dataset = IMDB(tokenizer=tokenizer) If you just need the test set (must pass a Vocab object!): vocab = train_dataset.get_vocab() test_dataset, = IMDB(tokenizer=tokenizer, vocab=vocab, ...
torchtext支持的分词器 torchtext是pytorch自带的关于文本的处理工具。 torchtext支持的分词器 from torchtext.data.utilsimportget_tokenizertokenizer=get_tokenizer('basic_english') 在/Users/xuehuiping/anaconda3/envs/my_transformer/lib/python3.7/site-packages/torchtext/data/utils.py查看get_tokenizer的定义: defge...
torchtext支持的分词器 from torchtext.data.utils import get_tokenizer tokenizer = get_tokenizer('basic_english') 1. 2. 3. 在/Users/xuehuiping/anaconda3/envs/my_transformer/lib/python3.7/site-packages/torchtext/data/utils.py查看get_tokenizer的定义: def get_tokenizer(tokenizer, language='en') 1....
4 fromtorchtext.data.utils import get_tokenizer 5 fromtorchtext.experimental.functional: No module named 'torchtext._torchtext' 我尝试将"torchtext“目录放入jupiter notebook的文件夹中,但再次出现错误 ~\Desktop\Competition\VTB\Task 1\torchtext: No ...
If you want to use English tokenizer from SpaCy, you need to install SpaCy and download its English model: pip install spacy python -m spacy download en_core_web_sm Alternatively, you might want to use the Moses tokenizer port in SacreMoses (split from NLTK). You have to install SacreMos...
LABEL = data.Field(sequential=False, use_vocab=False)tokenizer是⾃定义的分词⽅法，也可以加载已有的分词⽅法，在此使⽤spcay。在此假设spcay已经安装完成。三种nlp分词模型spacy en_core_web_sm/md/lg代表（small，medium，large）。spacy en_core_web_lg（780M），spacy en_core_web_sm（10M），...
"""return[tok.textfortokinspacy_en.tokenizer(text)] 建立field SRC=Field(tokenize=tokenize_de,init_token='<sos>',eos_token='<eos>',lower=True)TRG=Field(tokenize=tokenize_en,init_token='<sos>',eos_token='<eos>',lower=True) 设置训练集、验证机和测试集,exts指向语言。