Text Classification
alibaba/EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
π§ Natural Language Processing
PythonApache-2.0updated Nov 27, 2024
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.
$ git clone https://github.com/mim-solutions/bert_for_longer_texts.gitEasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
This is the corresponding code for the book Transformers in Action
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Collection of papers and resources for data augmentation for NLP.
Active Learning for Text Classification in Python
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @θ·ζε¦ζΊε¨ε¦δΉ
Data from GitHub Β· snapshot Sep 24, 2026