metadata
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