The GLiNER architecture is used in specialized workflows for Named Entity Recognition (NER), which can handle sensitive data and zero-shot extraction.
Sitam Meur
sitammeur
AI & ML interests
Real-world problem-solving using AI, machine learning, and deep learning.
Fields like Natural Language Processing, Computer Vision, etc.
Organizations
GliNER & Variants
The GLiNER architecture is used in specialized workflows for Named Entity Recognition (NER), which can handle sensitive data and zero-shot extraction.
MiniCPM Demos
Applications that use the MiniCPM family for visual question answering (VQA) and multimodal interactions.
Llama.cpp Demos
A set of efficient, Python-based chat interfaces and agents powered by llama.cpp that focus on running quantized models (GGUF) locally.
Web Demos
A collection of client-side AI applications built entirely in the browser with WebGPU, Transformers.js, and other web technologies.