Instructions to use CyberPeace-Institute/SecureBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CyberPeace-Institute/SecureBERT-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CyberPeace-Institute/SecureBERT-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CyberPeace-Institute/SecureBERT-NER") model = AutoModelForTokenClassification.from_pretrained("CyberPeace-Institute/SecureBERT-NER") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:77bf2a463b0e30ac6af59c0bcf001b0ca3d2a275e09b2d1817d66ec2b8f79a28
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size 496371344
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