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axiotic
/
ogma-large

sentence-transformers
ONNX
Safetensors
English
ogma
mteb
embedding
text-embedding
axiotic
matryoshka
small-model
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use axiotic/ogma-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use axiotic/ogma-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("axiotic/ogma-large", trust_remote_code=True)
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
ogma-large / variants
3.5 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
Antreas's picture
Antreas
Fix: relative imports for Hub loading, corrected model cards with accurate numbers and usage examples
91d1aef verified about 1 month ago
  • __init__.py
    0 Bytes
    Initial upload: ogma-large embedding model about 1 month ago
  • transformer.py
    3.5 kB
    Fix: relative imports for Hub loading, corrected model cards with accurate numbers and usage examples about 1 month ago