Token Classification
spaCy
English
ner
named-entity-recognition
cybersecurity
infosec
security
Eval Results (legacy)
Instructions to use pki/cybersec-ner-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use pki/cybersec-ner-roberta with spaCy:
!pip install https://huggingface.co/pki/cybersec-ner-roberta/resolve/main/cybersec-ner-roberta-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("cybersec-ner-roberta") # Importing as module. import cybersec-ner-roberta nlp = cybersec-ner-roberta.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea7863bc178e44ebcf971061e6cf7c1aa06a95577832fb518780876bf036aac7
- Size of remote file:
- 308 kB
- SHA256:
- 16a9dd30ffebdfed3a56b5e90821c3192f3088d3cff27b84185a63e59ba503c6
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