---
license: apache-2.0
base_model: 
 - urchade/gliner_multi-v2.1
 - microsoft/mdeberta-v3-base
language:
  - multilingual
library_name: gliner
tags:
- OpenVINO
- GLiNER
pipeline_tag: token-classification
---

# About

GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). 
It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, 
despite their flexibility, are costly and large for resource-constrained scenarios.

This is the OpenVINO's Intermediate Representation version with fp16 compression.


## Links

* Paper: https://arxiv.org/abs/2311.08526
* Repository: https://github.com/urchade/GLiNER

## Installation

WIP

## Usage

WIP