lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
$ git clone https://github.com/OctoberChang/X-Transformer.gitThis repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
BERT-based AI-generated academic text detection model
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
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.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Data from GitHub ยท snapshot Sep 24, 2026