This is an 8-bit quantized ONNX version of `numind/NuNERZero-span`, a zero-shot named entity recognition (NER) model based on the GLiNER architecture.
- 🧠 Zero-shot span-based NER - 📦 Quantized to 8-bit for faster, smaller inference - 💬 Input: text + list of labels - 🪄 Output: text spans per label (max span length = 12 tokens) - 📁 Format: ONNX
- Model: NuMind - Framework: GLiNER - Quantized and exported by Bijin Regi Panicker