Instructions to use danitamayo/bert-cybersecurity-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danitamayo/bert-cybersecurity-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danitamayo/bert-cybersecurity-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danitamayo/bert-cybersecurity-NER") model = AutoModelForTokenClassification.from_pretrained("danitamayo/bert-cybersecurity-NER") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:94b7ed1ce8c9ca909c13c83b1c8b5cccabfac8ef57856a3573f71b5c58c7dd56
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size 265537688
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