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:
- cd0ca1c2118845fbc4ff4a6c6b232a7033ef26bc1bca2260d2f88a92a956c38b
- Size of remote file:
- 3.96 kB
- SHA256:
- 15afa73cc856b0ff58c9ad71cc382b4a12190fed06d9d360b7dbd0183bb05a5f
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