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OwlCHN
/
kbqa_retriever_dev_v1

Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:90624
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use OwlCHN/kbqa_retriever_dev_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use OwlCHN/kbqa_retriever_dev_v1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("OwlCHN/kbqa_retriever_dev_v1")
    
    sentences = [
        "fetch relations: what are the risks of a medical condition which may prevent pyrazinamide?",
        "medicine.risk_factor.diseases",
        "architecture.lighthouse.construction",
        "zoos.zoo"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
kbqa_retriever_dev_v1 / eval
6.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
OwlCHN's picture
OwlCHN
Upload 12 files
6c7d271 verified over 1 year ago
  • Information-Retrieval_evaluation_results.csv
    6.3 kB
    Upload 12 files over 1 year ago