keitakurita/practical-torchtext
A set of tutorials for torchtext
These tutorials help you learn how to process text data for common natural language processing tasks. You'll input raw text and learn how to prepare it for machine learning models, leading to outputs like categorized text or predicted next words in a sequence. This is for anyone building or understanding text-based AI, particularly researchers and data scientists working with PyTorch.
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Use this if you are a researcher or data scientist who needs clear, practical examples to effectively use the torchtext library for text classification or language modeling within the PyTorch ecosystem.
Not ideal if you are looking for a plug-and-play solution for text analysis rather than a learning resource for a specific deep learning library.
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Jan 31, 2019
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