920232796/bert_seq2seq
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。
transform multi-label classification as sentence pair task, with more training data and information
$ git clone https://github.com/brightmart/multi-label_classification.gitpytorch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。
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
Unattended Lightweight Text Classifiers with LLM Embeddings
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.
Data from GitHub · snapshot Sep 24, 2026