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SkyIsNotGreen
/
splinter-memory

Sentence Similarity
sentence-transformers
context-curation
long-context
memory-management
conversational-ai
retrieval
llm
research-paper
Model card Files Files and versions
xet
Community

Instructions to use SkyIsNotGreen/splinter-memory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use SkyIsNotGreen/splinter-memory with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("SkyIsNotGreen/splinter-memory")
    
    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
splinter-memory
357 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
hive-dev
Update the card to the Cascade-edition white paper
970b4e6 about 17 hours ago
  • figures
    Splinter Memory: the white paper as the model card (long-context memory curation management) 19 days ago
  • .gitattributes
    1.57 kB
    Splinter Memory: the white paper as the model card (long-context memory curation management) 19 days ago
  • CITATION.cff
    897 Bytes
    Update the card to the Cascade-edition white paper about 17 hours ago
  • LICENSE
    1.09 kB
    Splinter Memory: the white paper as the model card (long-context memory curation management) 19 days ago
  • README.md
    29.8 kB
    Update the card to the Cascade-edition white paper about 17 hours ago