InseeFrLab/torchTextClassifiers
A unified framework for text classification in PyTorch.
This framework helps data scientists and machine learning engineers build powerful text classification models in PyTorch. It takes text data, optionally combined with other categorical information, and outputs predictions for single or multiple categories. It's designed for those who need to categorize documents, customer feedback, or other text-based information efficiently and accurately.
Use this if you need to automatically sort or categorize text documents, especially when additional categorical information is available alongside the text, and you want flexibility in model architecture.
Not ideal if you are looking for a no-code solution or a simple, out-of-the-box text classifier without needing to customize the model components.
Stars
21
Forks
7
Language
Python
License
MIT
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
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