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:
- c053b44368e9f1ad4143dd04b3feb0e7f0414562c615698d9111e0f662e4dfd7
- Size of remote file:
- 993 MB
- SHA256:
- 80eeff212abb98c229cf1a57c2c3ba32aabcaa4d0cc870227c25f7f199bf9ac8
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