Token Classification
GLiNER2
Safetensors
GLiNER
English
extractor
named-entity-recognition
ner
pii
anonymisation
privacy
Eval Results (legacy)
Instructions to use OvermindLab/nerpa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER2
How to use OvermindLab/nerpa with GLiNER2:
from gliner2 import GLiNER2 model = GLiNER2.from_pretrained("OvermindLab/nerpa") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result) - GLiNER
How to use OvermindLab/nerpa with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("OvermindLab/nerpa") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Built by [Akhat Rakishev](https://github.com/akhatre) at [Overmind](https://overmindlab.ai).
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Overmind is infrastructure for end-to-end agent optimisation. Learn more at [overmindlab.ai](https://overmindlab.ai).
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Built by [Akhat Rakishev](https://github.com/akhatre) at [Overmind](https://overmindlab.ai).
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Overmind is infrastructure for end-to-end agent optimisation. Learn more at [overmindlab.ai](https://overmindlab.ai).
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Contact us at support@overmindlab.ai
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