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selfconstruct3d
/
FALCON

Feature Extraction
Transformers
Safetensors
English
modernbert
cybersecurity
APT
threat-intelligence
contrastive-learning
embeddings
attribution
MITRE-ATTACK
CTI
ModernBERT
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use selfconstruct3d/FALCON with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use selfconstruct3d/FALCON with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="selfconstruct3d/FALCON")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/FALCON")
    model = AutoModel.from_pretrained("selfconstruct3d/FALCON")
  • Notebooks
  • Google Colab
  • Kaggle
FALCON
601 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
selfconstruct3d's picture
selfconstruct3d
Update README.md
f5d2361 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    11.4 kB
    Update README.md 3 months ago
  • config.json
    1.93 kB
    Upload model 3 months ago
  • label_to_groupid.json
    2.19 kB
    Upload label_to_groupid.json with huggingface_hub 3 months ago
  • model.safetensors
    597 MB
    xet
    Upload model 3 months ago
  • tokenizer.json
    3.67 MB
    Upload tokenizer 3 months ago
  • tokenizer_config.json
    580 Bytes
    Upload tokenizer 3 months ago