laddie132/Transformers-MLTC
Transformers for Multi-Label Text Classification
This project helps developers build systems that can automatically categorize text documents with multiple relevant topics or labels. You provide a collection of text documents and their associated labels, and the system outputs a model that can then predict multiple labels for new, unseen documents. This is useful for engineers and data scientists working on text processing applications.
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Use this if you are a developer looking for a straightforward way to implement multi-label text classification using Transformer models.
Not ideal if you are an end-user without programming experience looking for a ready-to-use application or a no-code solution.
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11
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2
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 18, 2020
Commits (30d)
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