Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

attack-vector
/
SecureModernBERT-NER

Token Classification
Transformers
TensorBoard
Safetensors
English
modernbert
ner
cybersecurity
threat-intelligence
secureBert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use attack-vector/SecureModernBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use attack-vector/SecureModernBERT-NER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="attack-vector/SecureModernBERT-NER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("attack-vector/SecureModernBERT-NER")
    model = AutoModelForTokenClassification.from_pretrained("attack-vector/SecureModernBERT-NER")
  • Notebooks
  • Google Colab
  • Kaggle
SecureModernBERT-NER
153 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
juanmcristobal's picture
juanmcristobal
Upload folder using huggingface_hub
eb3496e verified 7 months ago
  • runs
    Upload folder using huggingface_hub 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago