Token Classification
GLiNER
PyTorch
Safetensors
English
entity recognition
NER
named entity recognition
zero shot
zero-shot
Instructions to use numind/NuNER_Zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use numind/NuNER_Zero with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("numind/NuNER_Zero") - Notebooks
- Google Colab
- Kaggle
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NuNER Zero is (at the time of its release) the best compact zero-shot NER model (+3.1% token-level F1-Score over GLiNER-large-v2.1 on GLiNERS's benchmark)
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## Installation & Usage
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NuNER Zero is (at the time of its release) the best compact zero-shot NER model (+3.1% token-level F1-Score over GLiNER-large-v2.1 on GLiNERS's benchmark)
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<img src="zero_shot_performance_unzero_token.png" width="200">
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## Installation & Usage
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