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shaswatamitra
/
falcon-yara-dual-all-mpnet-base-v2

Sentence Similarity
Transformers
Safetensors
cybersecurity
cti
yara
contrastive-learning
dual-encoder
Model card Files Files and versions
xet
Community

Instructions to use shaswatamitra/falcon-yara-dual-all-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shaswatamitra/falcon-yara-dual-all-mpnet-base-v2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("shaswatamitra/falcon-yara-dual-all-mpnet-base-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
falcon-yara-dual-all-mpnet-base-v2
878 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
shaswatamitra's picture
shaswatamitra
FALCON best checkpoint β€” best run r4 (test_f1=0.9412)
1c1ce7c verified 3 months ago
  • cti
    FALCON best checkpoint β€” best run r4 (test_f1=0.9412) 3 months ago
  • rule
    FALCON best checkpoint β€” best run r4 (test_f1=0.9412) 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    2.16 kB
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago
  • metrics.json
    1.43 kB
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago
  • r0_curves.json
    501 Bytes
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago
  • r1_curves.json
    500 Bytes
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago
  • r2_curves.json
    552 Bytes
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago
  • r3_curves.json
    609 Bytes
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago
  • r4_curves.json
    549 Bytes
    FALCON best checkpoint β€” best run r0 (val_loss=0.0039) 3 months ago