This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
$ git clone https://github.com/lonePatient/Bert-Multi-Label-Text-Classification.gitBERT 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
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现（大量代码借鉴于其他开源项目，原先是自己玩的，后来干脆也开源出来）
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
文本相似度（匹配）计算，提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本
Data from GitHub · snapshot Sep 24, 2026