AnubhavGupta3377/Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
This project provides pre-built code for categorizing written text, like news articles or customer queries, into defined groups. You input your collection of text data, and it outputs a classification model ready to sort new, unseen texts. It's designed for data scientists or machine learning engineers who need to quickly set up and compare different text classification methods.
491 stars. No commits in the last 6 months.
Use this if you are a data scientist looking to experiment with various state-of-the-art text classification models in PyTorch for your specific dataset.
Not ideal if you need a plug-and-play solution without writing Python code or if you are not familiar with machine learning model training.
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Python
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MIT
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Last pushed
Jan 05, 2019
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