torchtext入门教程,轻松玩转文本数据处理 - 知乎
https://zhuanlan.zhihu.com/p/31139113import spacy import torch from torchtext import data, datasets spacy_en = spacy.load('en') def tokenizer(text): # create a tokenizer function return [tok.text for tok in spacy_en.tokenizer(text)] text = data.field(sequential=true, tokenize=tokenizer, lower=true, fix_length=150) label = data.field(sequential=false, use_vocab=false) train, val, …
Load datasets with TorchText
dzlab.github.io › dltips › enFeb 02, 2020 · import torch from torchtext import data from torchtext import datasets. With TorchText using an included dataset like IMDb is straightforward, as shown in the following example: TEXT = data.Field() LABEL = data.LabelField() train_data, test_data = datasets.IMDB.splits(TEXT, LABEL) train_data, valid_data = train_data.split() We can also load ...
TorchText文本数据集读取操作 - 简书
https://www.jianshu.com/p/fef1c782d90123.07.2019 · Torchtext 是一种为pytorch提供文本数据处理能力的库, 类似于图像处理库 Torchvision 。 2. 安装 pip install torchtext 3. 概览 image.png 使用torchtext的目的是将文本转换成Batch,方便后面训练模型时使用。 过程如下: 使用 Field 对象进行文本预处理, 生成example 使用 Dataset 类生成数据集dataset 使用 Iterator 生成迭代器 4. 常用的类 import torch from …
torchtext · PyPI
pypi.org › project › torchtextDec 15, 2021 · torchtext.legacy.datasets; We have a migration tutorial to help users switch to the torchtext datasets in v0.9.0 release. For the users who still want the legacy components, they can add legacy to the import path. In the v0.10.0 release, we retire the Vocab class to torchtext.legacy. Users can still access the legacy Vocab via torchtext.legacy ...
torchtext — torchtext 0.11.0 documentation
https://pytorch.org/texttorchtext. This library is part of the PyTorch project. PyTorch is an open source machine learning framework. Features described in this documentation are classified by release status: Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation.
torchtext · PyPI
https://pypi.org/project/torchtext15.12.2021 · torchtext.legacy.datasets; We have a migration tutorial to help users switch to the torchtext datasets in v0.9.0 release. For the users who still want the legacy components, they can add legacy to the import path. In the v0.10.0 release, we retire the Vocab class to torchtext.legacy. Users can still access the legacy Vocab via torchtext.legacy ...