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gliner_large-v1

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urchade commited on Mar 10

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@@ -5,7 +5,7 @@ license: cc-by-nc-2.0
 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 **Pile-NER** dataset
 ## Links

 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 **Pile-NER** dataset (Research purpose)
 ## Links