/L1-Gliner

GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like).

Primary LanguagePython

GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like).

How To

To test yourself clone the repo and flow the below instructions

Install dependencies

task setup

Run the program

task run

Demo

https://huggingface.co/spaces/numind/NuZero

Installation

To use this model, you must install the GLiNER Python library: !pip install gliner

Usage

Once you've downloaded the GLiNER library, you can import the GLiNER class. You can then load this model using GLiNER.from_pretrained and predict entities with predict_entities.

Reference

https://github.com/urchade/GLiNER