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 a zero-shot Named Entity Recognition (NER) Model. (
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NuNER Zero uses the [GLiNER](https://huggingface.co/papers/2311.08526) architecture: its input should be a concatenation of entity types and text.
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NuNER Zero is a zero-shot Named Entity Recognition (NER) Model. (Check [NuNER](https://huggingface.co/collections/numind/nuner-token-classification-and-ner-backbones-65e1f6e14639e2a465af823b) for the few-shot setting).
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NuNER Zero uses the [GLiNER](https://huggingface.co/papers/2311.08526) architecture: its input should be a concatenation of entity types and text.
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