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champ7
/
LOINC_CROSS_ENCODER1

Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use champ7/LOINC_CROSS_ENCODER1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use champ7/LOINC_CROSS_ENCODER1 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("champ7/LOINC_CROSS_ENCODER1")
    
    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
LOINC_CROSS_ENCODER1
1.24 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
champ7's picture
champ7
End of Epoch 1
959f912 verified 2 months ago
  • .gitattributes
    1.57 kB
    Checkpoint Step 10000 2 months ago
  • README.md
    18.7 kB
    Manual upload of model.safetensors and configs 2 months ago
  • config.json
    1.85 kB
    Checkpoint Step 10000 2 months ago
  • model.safetensors
    1.21 GB
    xet
    End of Epoch 1 2 months ago
  • tokenizer.json
    33.4 MB
    xet
    Checkpoint Step 10000 2 months ago
  • tokenizer_config.json
    676 Bytes
    Checkpoint Step 10000 2 months ago