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richardyoung
/
CardioEmbed-BGE-M3

Sentence Similarity
PEFT
Safetensors
sentence-transformers
English
medical
cardiology
embeddings
domain-adaptation
lora
Model card Files Files and versions
xet
Community

Instructions to use richardyoung/CardioEmbed-BGE-M3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use richardyoung/CardioEmbed-BGE-M3 with PEFT:

    Task type is invalid.
  • sentence-transformers

    How to use richardyoung/CardioEmbed-BGE-M3 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("richardyoung/CardioEmbed-BGE-M3")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
CardioEmbed-BGE-M3
26.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
richardyoung's picture
richardyoung
Cardiology embedding model (separation: 0.209)
196fb7a verified 6 months ago
  • .gitattributes
    1.57 kB
    Cardiology embedding model (separation: 0.209) 6 months ago
  • README.md
    1.22 kB
    Cardiology embedding model (separation: 0.209) 6 months ago
  • adapter_config.json
    982 Bytes
    Cardiology embedding model (separation: 0.209) 6 months ago
  • adapter_model.safetensors
    9.46 MB
    xet
    Cardiology embedding model (separation: 0.209) 6 months ago
  • special_tokens_map.json
    964 Bytes
    Cardiology embedding model (separation: 0.209) 6 months ago
  • tokenizer.json
    17.1 MB
    xet
    Cardiology embedding model (separation: 0.209) 6 months ago
  • tokenizer_config.json
    1.2 kB
    Cardiology embedding model (separation: 0.209) 6 months ago
  • training_config.json
    330 Bytes
    Cardiology embedding model (separation: 0.209) 6 months ago