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Kronic90
/
all-MiniLLM-VividTuned

Sentence Similarity
sentence-transformers
Safetensors
English
embedding
emotion
memory
neuroscience
vividness
companion-ai
pad-model
reconsolidation
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Kronic90/all-MiniLLM-VividTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Kronic90/all-MiniLLM-VividTuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Kronic90/all-MiniLLM-VividTuned")
    
    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
all-MiniLLM-VividTuned
184 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Kronic90's picture
Kronic90
Initial release: VividTuned embedding model (best + final checkpoints)
33bf1c3 verified about 2 months ago
  • best
    Initial release: VividTuned embedding model (best + final checkpoints) about 2 months ago
  • final
    Initial release: VividTuned embedding model (best + final checkpoints) about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    8.31 kB
    Initial release: VividTuned embedding model (best + final checkpoints) about 2 months ago