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Bharatdeep-H
/
pq_cache_6

Sentence Similarity
sentence-transformers
Safetensors
t5
feature-extraction
Generated from Trainer
dataset_size:3688
loss:MultipleNegativesRankingLoss
loss:CosineSimilarityLoss
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Bharatdeep-H/pq_cache_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Bharatdeep-H/pq_cache_6 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Bharatdeep-H/pq_cache_6", trust_remote_code=True)
    
    sentences = [
        "Am I invested in emerging markets?",
        "Do I have any investments in emerging markets?",
        "Do I have financials in my portfolio?",
        "Show me my recommendations"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
pq_cache_6
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Bharatdeep-H's picture
Bharatdeep-H
Updated Weights
6cb0ace verified 12 months ago
  • 1_Pooling
    Updated Weights 12 months ago
  • eval
    Updated Weights 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    17.8 kB
    Updated Weights 12 months ago
  • config.json
    1.61 kB
    Updated Weights 12 months ago
  • config_sentence_transformers.json
    199 Bytes
    Updated Weights 12 months ago
  • model.safetensors
    439 MB
    xet
    Updated Weights 12 months ago
  • modules.json
    229 Bytes
    Updated Weights 12 months ago
  • sentence_bert_config.json
    53 Bytes
    Updated Weights 12 months ago
  • special_tokens_map.json
    2.54 kB
    Updated Weights 12 months ago
  • tokenizer.json
    2.42 MB
    Updated Weights 12 months ago
  • tokenizer_config.json
    20.8 kB
    Updated Weights 12 months ago