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Verified signature## Model Card for Gliner Arabic Rich 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 version has been trained on the rich Arabic Dataset for different domains ## Installation To use this model , you must install the GLiNER python library: ```bash !pip install gliner ``` 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.f7c42d8
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