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DuyTa
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sec-embedding

Feature Extraction
sentence-transformers
PyTorch
English
Vietnamese
xlm-roberta
embedding
dense-retrieval
contrastive-learning
cve
cybersecurity
qdrant
secAI
text-embeddings-inference
Model card Files
xet
 Community
1
sec-embedding

Commit History

  1. Model card: add acceptance (nghiệm thu) LLM/quality/task KPIs, training set size & hardware

    DuyTa
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    f39e9e5

  2. Update model card: set license to apache-2.0; add acceptance (nghiệm thu) model info & KPIs

    DuyTa
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    be173c8

  1. Model card: fine-tuned BGE-M3 dense retriever (Qdrant CVE hard-negative trajectories)

    DuyTa
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    47dd2d0

  2. Restore model card: BGE-M3 contrastive LoRA fine-tune on Qdrant CVE trajectories

    DuyTa
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    0ae4e58

  3. Revert README to honest re-host description (no unverified fine-tune claim)

    DuyTa
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    8d09f90

  4. Update model card: contrastive LoRA fine-tune on Qdrant CVE trajectories

    DuyTa
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    1e82928

  5. Re-host BAAI/bge-m3 as sec-embedding for secAI pipeline

    DuyTa
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    1fc0157

  6. initial commit

    DuyTa
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    e0fea31