The GLiNER architecture is used in specialized workflows for Named Entity Recognition (NER), which can handle sensitive data and zero-shot extraction.
🏗️ Building on HF
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.
Recent Activity
updated a Space about 14 hours ago
sitammeur/Sarkari-Sahayak published a Space about 14 hours ago
sitammeur/Sarkari-Sahayak updated a Space about 2 months ago
sitammeur/TextSnapOrganizations
spaces 13
Running on Zero
Agents
Sarkari Sahayak
🚀
An assistant for govt scheme documents and forms in Bengali.
Runtime error
Agents
4
TextSnap
📊
Florence 2 used in OCR to extract & visualize text
Sleeping
Agents
4
GLiNER PII
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Zero-shot PII/PHI recognition app using NVIDIA's GLiNER-PII
Running
Agents
6
YoloPose
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Showcasing Yolo, enabling human pose detection
Running
Agents
7
Gemma Llamacpp
⚡
Gemma 3: Google's multimodal, multilingual, long context LLM
Running
Agents
5
Qwen-Coder Llamacpp
🌍
Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc