lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
This project helps machine learning engineers or data scientists classify text into multiple categories simultaneously. You input a dataset of text documents, and it outputs a trained model that can automatically tag new text with relevant labels, such as identifying different types of harmful content in user comments. This is for professionals building automated content moderation or information organization systems.
924 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist needing to apply multiple topic labels to text documents using a pre-trained BERT or XLNet model.
Not ideal if you are a business user looking for a ready-to-use application without coding or model training.
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Language
Python
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MIT
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Last pushed
Apr 18, 2023
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