lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
BERT-based AI-generated academic text detection model
$ git clone https://github.com/Imalwayshere/Open-Detector.gitThis repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习
中文文本分类、序列标注工具包(pytorch),支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
Data from GitHub · snapshot Sep 24, 2026