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Gem-Software
/
stella-v5.2-boost15

Sentence Similarity
sentence-transformers
Safetensors
Transformers
new
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Gem-Software/stella-v5.2-boost15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Gem-Software/stella-v5.2-boost15 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Gem-Software/stella-v5.2-boost15", trust_remote_code=True)
    
    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]
  • Transformers

    How to use Gem-Software/stella-v5.2-boost15 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Gem-Software/stella-v5.2-boost15", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
stella-v5.2-boost15 / 2_Dense
4.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
travistest's picture
travistest
Upload 2_Dense/config.json with huggingface_hub
5ee3418 verified about 1 month ago
  • config.json
    122 Bytes
    Upload 2_Dense/config.json with huggingface_hub about 1 month ago
  • model.safetensors
    4.2 MB
    xet
    Add new SentenceTransformer model about 1 month ago