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
- Xet hash:
- 3e333cb1ebfd4b475936cf76ba3ff8f4bfefc83b8ecbe5c127cde3b1c01f0e0f
- Size of remote file:
- 496 MB
- SHA256:
- 2e7b4c4b81357d1b66817e0cd5fe8d98dec8c79e4cb9ba57bfcfaf802057f4e2
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