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1shoomun
/
pq_cache_3

Sentence Similarity
sentence-transformers
Safetensors
t5
feature-extraction
Generated from Trainer
dataset_size:2640
loss:MultipleNegativesRankingLoss
loss:CosineSimilarityLoss
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use 1shoomun/pq_cache_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use 1shoomun/pq_cache_3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("1shoomun/pq_cache_3", trust_remote_code=True)
    
    sentences = [
        "Can you tell me how my portfolio did last week?",
        "Suggest recommendations for me",
        "Do you have any insights on my portfolio",
        "How did my portfolio perform last week ?"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
pq_cache_3 / eval
89.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
1shoomun's picture
1shoomun
Updated Weights
6391626 verified about 1 year ago
  • Information-Retrieval_evaluation_test-eval_results.csv
    89.4 kB
    Updated Weights about 1 year ago