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

sindsub
/
cybersec-mpnet-finetuned

Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
feature-extraction
cybersecurity
threat-intelligence
mitre-attack
cti
embeddings
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sindsub/cybersec-mpnet-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use sindsub/cybersec-mpnet-finetuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sindsub/cybersec-mpnet-finetuned")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
cybersec-mpnet-finetuned
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
sindsub's picture
sindsub
Fix CTI-MCQ total: 2,500 questions (500 held out, 2,000 training), CTI-ATE: 60 source rows -> ~179 pairs
b7b4f5d verified 21 days ago
  • 1_Pooling
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • .gitattributes
    1.52 kB
    initial commit 22 days ago
  • README.md
    4.23 kB
    Fix CTI-MCQ total: 2,500 questions (500 held out, 2,000 training), CTI-ATE: 60 source rows -> ~179 pairs 21 days ago
  • config.json
    598 Bytes
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • config_sentence_transformers.json
    284 Bytes
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • model.safetensors
    438 MB
    xet
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • modules.json
    429 Bytes
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • sentence_bert_config.json
    241 Bytes
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • tokenizer.json
    712 kB
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago
  • tokenizer_config.json
    585 Bytes
    Add cybersec-mpnet-finetuned: all-mpnet-base-v2 fine-tuned on CTI-Bench (2179 pairs, MNRL) 22 days ago