‘Text Classification with TorchText’, PyTorch tutorialAllen Nie, ‘A Tutorial on TorchText’
from torchtext.datasets import text_classification NGRAMS = 2 import os if not os.path.isdir('./.data'): os.mkdir('./.data') train_dataset, test_dataset = text_classification.DATASETS['AG_NEWS']( root='./.data', ngrams=NGRAMS, vocab=None) BATCH_SIZE = 16 device = torch.device("...
print("This is a %s news" %DBpedia_label[predict(ex_text_str, model, vocab, 2)]) 1. 2. 3. 第二个预测: ex_text_str2 = "Cerithiella superba is a species of very small sea snail, a marine gastropod mollusk in the family Newtoniellidae. This species is known from European waters...
Github项目地址: https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Text-Classification
目的 构建可以将文本文档标记为多个类别之一的模型。...我们将实现层次注意网络(HAN),这是一种更有趣、更易于解释的文本分类模型。 这个模型不仅对文档进行分类,还选择文本中它认为最重要的特定部分——句子和单个单词。...Github项目地址: https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Text-Classification ...
要查看图文并茂版教程,请移步:http://studyai.com/pytorch-1.4/beginner/text_sentiment_ngrams_tutorial.html 本教程演示如何在 torchtext 中使用文本分类数据集,包括 - AG_NEWS, - SogouNews, - DBpedia, - YelpReviewPolarity, - YelpReviewFull,
A1 使用nn.Transformer和TorchText进行序列到序列建模 Sequence-to-Sequence Modeling with nn.Transformer and TorchText pytorch.org/tutorials/b 数据集WikiText2,使用TransformerModel,position建模 A2 使用TorchText进行文本分类 Text Classification with TorchText pytorch.org/tutorials/b 新闻分类。AG_NEWS有4个标签。
当你实现了一个简单的例子(比如tutorial 的 mnist) 基本上对pytorch的主要内容都有了大概的了解. 写的时候会涉及 dataset,nn.module, optim, loss等许多模块, 也算是加深理解. 我用pytorch 写的第一个模型是DCGAN , 寒假在家远程实验室服务器用ipython notebook写的 GitHub-chenyuntc/pytorch-GAN, 然后看到了...
from torch import nn class TextClassificationModel(nn.Module): def __init__(self, vocab_size, embed_dim, num_class): super(TextClassificationModel, self).__init__() self.embedding = nn.EmbeddingBag(vocab_size, embed_dim, sparse=False) self.fc = nn.Linear(embed_dim, num_class) self....
(base) zhaomingming@localhost Downloads % python char_rnn_classification_tutorial.py ['data/names/Czech.txt', 'data/names/German.txt', 'data/names/Arabic.txt', 'data/names/Japanese.txt', 'data/names/Chinese.txt', 'data/names/Vietnamese.txt', 'data/names/Russian.txt', 'data/names/Fre...