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gliner_medium-v2.1

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urchade commited on Apr 9, 2024

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@@ -12,8 +12,6 @@ library_name: gliner
 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)
 ## Links
 * Paper: https://arxiv.org/abs/2311.08526

 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.
 ## Links
 * Paper: https://arxiv.org/abs/2311.08526