Text Classification
EricFillion/happy-transformer
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
❓ Question Answering🧠 Natural Language Processing
PythonApache-2.0updated Jan 10, 2026
Active Learning for Text Classification in Python
$ git clone https://github.com/webis-de/small-text.gitHappy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
This is the corresponding code for the book Transformers in Action
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
pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型实现,开箱即用。
Data from GitHub · snapshot Sep 24, 2026