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README.md
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license: apache-2.0
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---
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license: apache-2.0
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base_model:
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- urchade/gliner_multi-v2.1
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- microsoft/mdeberta-v3-base
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language:
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- multilingual
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library_name: gliner
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tags:
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- OpenVINO
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- GLiNER
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pipeline_tag: token-classification
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---
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# About
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GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like).
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It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that,
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despite their flexibility, are costly and large for resource-constrained scenarios.
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This is the OpenVINO's Intermediate Representation version with fp16 compression.
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## Links
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* Paper: https://arxiv.org/abs/2311.08526
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* Repository: https://github.com/urchade/GLiNER
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## Installation
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WIP
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## Usage
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WIP
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