Update README.md

README.md

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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). 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 NuNER dataset (commercially permissive)
+This version has been trained on the **NuNER** dataset (commercially permissive)
 
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