Text Classification
alibaba/EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
🧠 Natural Language Processing
PythonApache-2.0updated Nov 27, 2024
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习
$ git clone https://github.com/mlwithme/BertWithPretrained.gitEasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
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
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.
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析,对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Data from GitHub · snapshot Sep 24, 2026