torchtext-summary

torchtext-summary

atnlp

torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.

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167 Stars
42 Forks
167 Watchers
Jupyter Notebook Language
Cost to Build
$500
Market Value
$951
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6 data points  ·  2021-08-01 → 2023-02-01
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What is the atnlp/torchtext-summary GitHub project? Description: "torchtext使用总结，从零开始逐步实现了torchtext文本预处理过程，包括截断补长，词表构建，使用预训练词向量，构建可用于PyTorch的可迭代数据等步骤。并结合Pytorch实现LSTM.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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