urchade
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gliner_base

Token Classification

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urchade commited on Mar 10

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-license: apache-2.0
 language:
 - en
 pipeline_tag: token-classification
@@ -11,7 +11,7 @@ datasets:
 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). Commercially permission versions are available (urchade/gliner_smallv2, urchade/gliner_mediumv2, urchade/gliner_largev2)
 ## Links

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+license: cc-by-nc-2.0
 language:
 - en
 pipeline_tag: token-classification
 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). Commercially permission versions are available (urchade/gliner_smallv2, urchade/gliner_mediumv2, urchade/gliner_largev2)
 ## Links