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

Easy multi-task learning with HuggingFace Datasets and Trainer

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.

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

Open, Lightweight Model for AI Safety.

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.

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.

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

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

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