Token Classification
GLiNER
PyTorch
English
entity recognition
NER
named entity recognition
zero shot
zero-shot
Instructions to use numind/NuNER_Zero-span with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use numind/NuNER_Zero-span with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("numind/NuNER_Zero-span") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -37,6 +37,7 @@ model = GLiNER.from_pretrained("numind/NuZero_span")
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# NuZero requires labels to be lower-cased!
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labels = ["person", "award", "date", "competitions", "teams"]
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text = """
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# NuZero requires labels to be lower-cased!
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labels = ["person", "award", "date", "competitions", "teams"]
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labels [l.lower() for l in labels]
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text = """
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