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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Cyber-ThreaD
/
SecBERT-AttackER

Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Cyber-ThreaD/SecBERT-AttackER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cyber-ThreaD/SecBERT-AttackER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Cyber-ThreaD/SecBERT-AttackER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Cyber-ThreaD/SecBERT-AttackER")
    model = AutoModelForTokenClassification.from_pretrained("Cyber-ThreaD/SecBERT-AttackER", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SecBERT-AttackER / runs
57.3 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Anonymous
Upload folder using huggingface_hub
3eda1c6 over 2 years ago
  • Dec01_00-18-01_7680f78f04a8
    Upload folder using huggingface_hub over 2 years ago
  • Nov21_18-57-58_1fcd30357cc4
    Upload folder using huggingface_hub over 2 years ago