导入torchtext.data.utils模块: 要使用get_tokenizer函数,首先需要导入包含该函数的模块。在PyTorch中,torchtext.data.utils模块提供了get_tokenizer函数。以下是如何导入该模块的示例代码: python from torchtext.data.utils import get_tokenizer 从torchtext.data.utils中获取get_tokenizer函数: 一旦导入了torchtext.dat...
ankitbatra22 It seems like they were deprecated in favour of torch text datasets and vocab classes, which have a much simpler API. Now you can do something like: tokenizer = get_tokenizer('spacy', language='en') # Function to yield list of tokens def yield_tokens(data_iter: Iterable) ...
tokenizers Fast and Customizable Tokenizers 16 msrestazure AutoRest swagger generator Python client runtime. Azure-specific module. 16 pyclipper Cython wrapper for the C++ translation of the Angus Johnson's Clipper library (ver. 6.4.2) 16 optax A gradient processing and optimisation library in JA...
Working with BERT Text Classification,i found this error import torch from tqdm.notebook import tqdm from transformers import BertTokenizer from torch.utils.data import TensorDataset from transformers import BertForSequenceClassification...
py::object tokenizer); } // namespace torchtext 46 torchtext/experimental/vocab.py @@ -6,27 +6,59 @@ import torch.nn as nn from torchtext._torchtext import ( Vocab as VocabPybind, _load_vocab_from_file _load_vocab_from_file, _load_vocab_from_raw_text_file ) logger = logging.getL...