Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

theinferenceloop
/
vektor-guard-v1

Text Classification
Transformers
Safetensors
English
modernbert
prompt-injection
jailbreak-detection
security
ModernBERT
ai-safety
inference-loop
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use theinferenceloop/vektor-guard-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use theinferenceloop/vektor-guard-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="theinferenceloop/vektor-guard-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("theinferenceloop/vektor-guard-v1")
    model = AutoModelForSequenceClassification.from_pretrained("theinferenceloop/vektor-guard-v1")
  • Notebooks
  • Google Colab
  • Kaggle
vektor-guard-v1
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
emsikes's picture
emsikes
Upload README.md with huggingface_hub
96d30cd verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    4.6 kB
    Upload README.md with huggingface_hub about 2 months ago
  • config.json
    2.11 kB
    Upload ModernBertForSequenceClassification about 2 months ago
  • model.safetensors
    1.58 GB
    xet
    Upload ModernBertForSequenceClassification about 2 months ago
  • tokenizer.json
    3.58 MB
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    351 Bytes
    Upload tokenizer about 2 months ago