# Lightweight text classification

A lightweight text classification model based on the DistilBERT architecture, designed to classify English news into four major categories: World, Sports, Business, and Technology

fastText is an open-source, free, and lightweight library for learning text representations and text classifiers, supporting the extraction of Thai word vectors.

fastText is an open-source, free, lightweight library for text representation learning and classification, supporting Chinese word vector training and text classification tasks.

fastText is an open-source library for efficient learning of word representations and text classification, supporting rapid training on general-purpose hardware.

Vietnamese topic classifier fine-tuned from the distilbert-base-multilingual-cased model

A text classification model fine-tuned on distilbert-base-uncased for identifying ironic content in tweets