AnubhavGupta3377/Text-Classification-Models-Pytorch
PyTorch implementations of text classification models including TextCNN, TextRNN, RCNN, CharCNN, Transformer, and seq2seq with attention.

This repository provides PyTorch implementations of state-of-the-art text classification models. It includes CNN-based models (TextCNN, CharCNN), RNN-based models (TextRNN, RCNN), transformer architecture from Attention Is All You Need, and seq2seq with attention for text classification. The implementations follow original research papers and support training on custom datasets with pre-trained word embeddings like GloVe and Word2Vec.