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 and without it.
Links
- Paper: https://arxiv.org/abs/2311.08526
- Repository: https://github.com/urchade/GLiNER
Installation
WIP
Usage
Do you need to deploy? Please check my github: https://github.com/juampahc/skyresh
I will update the model card asap.
WIP
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urchade/gliner_multi-v2.1