Production-ready Inference, Ingestion and Indexing built in Rust 🦀

Easy modernBERT fine-tuning and multi-task learning

ModernBERT model optimized for Apple Neural Engine.

ClassyText is a demo for zero-shot text classification using ModernBERT-large from Hugging Face.

End-to-end pipeline that identifies specialized research papers through automated classification, demonstrated with an LLMOps use case that includes data ingestion, model training, evaluation, and deployment.

Open, Lightweight Model for AI Safety.

Code for EXIST 2025 Task 1.1, 1.2 and 1.3

Challenge to distinguish whether a sentence from a news article expresses the subjective view of the author behind it or presents an objective view on the covered topic

Trajectory Classification with the new architecture of BERT, the 'ModernBERT'

This is my attempt at writing an ai detector api by fine-tuning modernBert. The story about this project is discussed in the readme. You can find a link to the model playground below.

We introduce a binarized approach to Lexical Complexity Prediction (Binary LCP) and systematically compare two generations of encoder-only Transformer models: BERT and ModernBERT. Work completed as part of Natural Language Processing, DATASCI 266.

An example workflow for fine-tuning ModernBERT for a classification task using the IMDB dataset.

This repository contains code to fine llm with diverse peft techniques with custom datasets.