Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Inference engine for GLiNER models, in Rust

Ontology of Snips NLU

Quickner is a new tool to quickly annotate texts for NER (Named Entity Recognition). It is written in Rust and accessible through a Python API.

A CRF based Chinese Named-entity Recognition Library written in Rust

Text annotation and entity extraction

Python bindings to Inference engine for GLiNER models written in Rust

Rust library and CLI for multilingual text anonymization with built-in ONNX NER + regex recognizers.

On-device NLP SDK for iOS, Android & Web. Detects intents, extracts entities, answers from a KB — all in a Rust core (TF-IDF + ONNX NER via tract). No cloud, no backend, no network. Multi-turn conversations built in.

NER on PDF file using Rust

Document anonymization tool using local LLM (Ollama) — Anonimizator dokumentów z lokalnym AI

Agrégateur de dictionnaires d'entités nommées de l'ESR

Self-hosted HTTP service that runs the OpenAI Privacy Filter model locally to detect and redact PII.

Weak supervision for NER: mine domain-specific phrases from unlabeled corpora, score by salience, and auto-generate training labels. Ruby gem with high-performance Rust engines.

Safe Rust bindings for Apple's NaturalLanguage framework — language detection, tokenisation, named-entity recognition on macOS.