Bert-Multi-Label-Text-Classification and BertClassifier
About Bert-Multi-Label-Text-Classification
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.
About BertClassifier
illiterate/BertClassifier
基于PyTorch的BERT中文文本分类模型（BERT Chinese text classification model implemented by PyTorch）
This project helps classify Chinese text into predefined categories like sports, entertainment, or finance. You input a piece of Chinese text, and it tells you which category it most likely belongs to. It's designed for someone learning about natural language processing and text classification with BERT models.
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