2024-04-02 GLiNER model
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Date de récolte : 2024-04-02-mardi
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Name entity recognition reconnaissance d'entités nommées
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.
démo : https://huggingface.co/spaces/tomaarsen/gliner_base
modèles : https://huggingface.co/models?library=gliner
papier : https://arxiv.org/abs/2311.08526