基于Transformers的文本分类
$ git clone https://github.com/zhanlaoban/Transformers_for_Text_Classification.git⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
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.
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper
Data from GitHub · snapshot Sep 24, 2026