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aihello
/
keyword-recommendation-beta

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:10000
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use aihello/keyword-recommendation-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use aihello/keyword-recommendation-beta with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("aihello/keyword-recommendation-beta")
    
    sentences = [
        "great walks uk book",
        "loose match",
        "loose match",
        "lamina mapa montevideo"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
keyword-recommendation-beta / eval
172 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Karan Shingde
Model save
4ced4da verified 10 months ago
  • similarity_evaluation_custom-validation_results.csv
    172 Bytes
    Model save 10 months ago